WO2013080316A1 - Method for allocating workers to tasks - Google Patents

Method for allocating workers to tasks

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Publication number
WO2013080316A1
WO2013080316A1 PCT/JP2011/077610 JP2011077610W WO2013080316A1 WO 2013080316 A1 WO2013080316 A1 WO 2013080316A1 JP 2011077610 W JP2011077610 W JP 2011077610W WO 2013080316 A1 WO2013080316 A1 WO 2013080316A1
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WO
WIPO (PCT)
Prior art keywords
work
worker
business
evaluation
input
Prior art date
Application number
PCT/JP2011/077610
Other languages
French (fr)
Japanese (ja)
Inventor
光一朗 飯島
孝史 野口
平澤　茂樹
浩幸 堀
Original Assignee
株式会社日立製作所
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社日立製作所 filed Critical 株式会社日立製作所
Priority to PCT/JP2011/077610 priority Critical patent/WO2013080316A1/en
Publication of WO2013080316A1 publication Critical patent/WO2013080316A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Definitions

  • the present invention relates to a method for assigning workers in charge of equipment maintenance work plans.
  • the present invention relates to a method for selecting a worker to be introduced in advance and assigning the work when introducing a new maintenance work in a maintenance work plan for a distribution facility.
  • skill storage means storing worker skill information and work item information storing work item information for work It has work information storage means that can store information on workers for each work item for storage means and work, stores skill information such as past training attendance history for each worker, and receives work and each work A worker who matches the skill information for the item is selected. According to the description in Patent Document 1, a more effective work can be performed by requesting or instructing a worker whose work information matches the skill information of the worker.
  • An object of the present invention is to provide a method for automatically selecting a worker who is considered to be highly effective in improving a work index when a new work is introduced and a worker is assigned.
  • the contents and report methods of work reports when each worker performs the work are accumulated in the work history database, and the contents and report of the work report when introducing a new work. Analyze the method to evaluate the suitability for new work and select workers.
  • the KPI definition formula and the KPI expected value are calculated using the data items stored in the business history database as the (main) business index (KPI: Key Performance Indicators).
  • KPI Key Performance Indicators
  • the data items stored in the work history database may be data items newly added and created as remarks by the worker as well as formal report items at the time of business execution.
  • the data items used for the KPI definition formula and the KPI estimated value calculation may be values calculated from the reporting method such as the reporting time and the number of reports as well as the items consciously created and input by the worker.
  • the workers are expected to have experience and skills in finding the gap between the actual equipment and the equipment DB, so the effect of the new work is better than when assigning new work to a worker who has no experience at all. Can be prevented from being unreasonably low.
  • the present invention has the following configuration.
  • the presence or absence of input and the accuracy of input are evaluated, and each data is determined based on the presence or absence of input, the evaluation result of input accuracy, and the degree of contribution to the business indicators.
  • the input worker is evaluated, and a process for selecting a worker to be assigned to a new job based on the worker's evaluation is performed.
  • the present invention when a new business is introduced and a worker is assigned, it is possible to select a worker by evaluating a work report in a previous business. In particular, it is possible to automatically select a worker who seems to be highly effective in improving the work index from the relationship between the definition of the work index of the new work and the data items in the work report.
  • a worker in the maintenance work of the power equipment, in particular, the maintenance work of the power distribution equipment, a worker is dispatched to the place where the power distribution equipment is installed, and the soundness of the equipment is visually inspected or inspected by an inspection device brought. . Workers receive work instructions and visit the site to perform maintenance work.
  • FIG. 11 is a conceptual diagram showing an example of an embodiment in the present invention.
  • an office 1100 such as an electric power company issues a work request or instruction to a field worker (1101), and the worker performs a maintenance work based on the content of the work request. carry out.
  • a report is made to the office (1102).
  • FIG. 1 is a typical hardware configuration diagram according to the present invention
  • FIG. 2 is a typical software configuration diagram according to the present invention that operates on the hardware configuration.
  • FIG. 3 to 7 are software processing flows in the software configuration, and FIG. 3 is an example of a processing flow according to the worker selection of the present invention. 4 is an example of a detailed processing flow related to introduction of a new business of the present invention, FIGS. 5 and 6 are examples of a detailed processing flow related to worker evaluation of the present invention, and FIG. It is an example of the detailed processing flow which concerns on the work report input of invention.
  • FIG. 8 to 10 are examples of tables used in the processing flow
  • FIG. 8 is an example of a table showing worker report data according to the present invention
  • FIG. 9 is a table of new business indices according to the present invention
  • FIG. 10 is an example of a table showing worker evaluation according to the present invention.
  • FIG. 1 is an example of a typical hardware configuration diagram according to the present invention.
  • a business performance management server 101 and a business plan management server 106 are devices installed mainly on the office side requesting work, and a business commission management server.
  • 104 is mainly installed in an organization to which a worker who receives a work request belongs.
  • the field terminal 105 is a terminal that is operated and browsed by a worker when working in the field.
  • the business plan management server 106 is a computer for assigning a business by selecting a worker to be instructed when the business is instructed to the worker, and the business performance management server 101 is a work history for each of the workers.
  • the business commission management server 104 is a computer that accepts business requests from customers. Accordingly, the business plan management server 106, which is the subject of the operation of the method of the present invention, receives a business request from the business commission management server 104 and stores it in the business history data of each worker managed by the business performance management server 101. Based on this, assign workers to the requested work.
  • These computers 106, 104, and 101 are connected to each other via a communication path 102.
  • the business performance management server 101 includes a secondary storage 121, a communication device 123, an input / output device 125, a CPU 126, and a main storage 127.
  • the worker selection method according to the present invention is stored in the secondary storage 121 and the main storage 127. And executed by the CPU 126. Further, it communicates with the field terminal 105 via the communication device 123 and the GW (Gate Way) 103.
  • the business plan management server 106 includes a communication device 107, a secondary storage 117, an input / output device 118, a CPU 119, and a main memory 120.
  • the worker selection method according to the present invention is stored in the secondary storage 117 and the main memory 120. And executed by the CPU 119. Further, it communicates with the business commission management server 104 and the field terminal 105 via the communication device 107 and the GW 103.
  • the business commission management server 104 includes a communication device 108, a CPU 112, a main memory 113, a secondary storage 114, and an input / output device 115, and accepts business requests from customers via the communication path 102.
  • the field terminal 105 includes a communication device 109, a CPU 110, a main memory 111, and an input / output device 116, and communicates with the business performance management server 101 via the communication path 102 and the GW 103.
  • the field terminal 105 may be any terminal that can be carried by a worker at the time of field work, such as a PDA or a mobile phone, confirms work instruction contents and creates a work report from the input / output device 116, and transmits the result. It may be a form.
  • the input / output device 116 may be, for example, a character input device such as a keyboard or a handwriting input device such as a touch pen, and may be of any type as long as the work instruction content can be confirmed and a work report can be created.
  • FIG. 1 shows an example in which the business performance management server 101, the business plan management server 106, and the business commission management server 104 are realized by different computers, the functions of these servers 101, 106, and 104 are combined into one machine.
  • the method of the present invention can be applied even when the computer is realized or the functions of the servers 101 and 106 are realized by a single computer.
  • FIG. 2 shows an example of software configuration that operates in each part of FIG. With reference to FIG. 2, the configuration of software in this embodiment and the outline of the operation of each software will be described.
  • the business performance management server 101 operates a business history DB 207 and a report reception 206 in order to manage work reports from field workers.
  • the report reception 206 receives work reports from the field terminal 105 and accumulates them in the work history DB 207.
  • the work commission management server 104 refers to the work report data stored in the work history DB 207, executes a new work definition 210, a worker evaluation 212, and a worker selection 213, and uses the worker assignment method of the present invention to obtain worker information. Based on the worker information stored in the DB 211, workers are assigned to new work. As a result, a business instruction for a worker to which a new business is assigned is transmitted from the business instruction 208 to the business commissioning management server 104.
  • the work commission management server 104 receives the work instruction from the work instruction 208 at the work instruction reception 205 and transfers the work instruction from the work instruction transfer 204 to the field terminal 105 of the worker to whom the new work is assigned.
  • the field terminal 105 acquires the contents of the business instruction by the business instruction acquisition 201 and displays it.
  • the worker having the field terminal 105 performs field work such as maintenance and inspection work of the power equipment based on the obtained business instruction.
  • the worker reports the field work result to the work performance management server 101 from the work report 202 after the field work is completed or at an appropriate time. At that time, if there is an item to be added and reported in addition to the items specified in advance in the work report, the item is added in Item Addition 203 and reported as reference information.
  • FIG. 3 is an example of an outline flow showing a method for selecting a worker in a new job according to the present invention, which is executed by the operation of each software of the new job definition 210, worker evaluation 212, and worker selection 213 shown in FIG. This is an example of processing.
  • step 301 is a process for acquiring an index calculation method for a new business, and is a process for acquiring an index calculation method for an effect expected in a new business input in the new business definition 210. Details of this step will be described in the processing flow of FIG.
  • Step 302 is a process of acquiring a work report so far for each worker
  • the worker evaluation 212 is a process of acquiring a work report history for each past worker from the work history DB 207.
  • the target worker is extracted from the work contents registered in the new business definition 210, and the target report data is extracted from the index calculation method acquired in step 301 and acquired.
  • Step 303 is a process of calculating the index of each worker in a new job, and calculates the index of each worker from the content of the acquired work report.
  • input parameters of the index calculation method in the work report are extracted, and the index of each worker is calculated. Details of this step will be described in the processing flow of FIG.
  • Step 305 is a process of assigning a task to the selected worker, and issues a job request to the worker selected from the job instruction 208.
  • FIG. 4 is an example of a processing flow showing introduction of a new business, and shows details of the software operation in step 301 of FIG. 3 based on the new business definition 210.
  • step 401 is a process of inputting new field work contents, and the work contents of a field worker are inputted as a new work from the input / output device 118.
  • Step 402 is a process for registering a new field work KPI calculation formula, and a process for registering a KPI calculation formula indicating the effect of the new work input in step 401.
  • a method for indexing and calculating the achievement level of new business and the effect of the entire new business is registered as a KPI calculation formula.
  • the KPI calculation formula may be any method as long as it is a method for converting the information obtained from the field worker's report or sensor information installed in the field into a value indicating the level of the effect of the new work. For example, a method of quantifying the report content by a field worker or a function for calculating an effect index using the quantified report content as a parameter may be used.
  • the input parameter may include a report item added by the worker by the item addition 203.
  • the equipment type error was reported by item addition 203.
  • the equipment type error rate may be used as an input parameter, and the control accuracy improvement rate of the distribution voltage may be set as KPI.
  • the input parameter may include a value calculated across multiple report contents. For example, the difference between the reporting times of consecutive work reports reported from the work report 202 is used as a report interval, the work amount per hour is calculated from the report interval as an input parameter, and the worker of the work amount per hour, or The KPI may be calculated using the variance for each organization as the “work variation degree”.
  • Step 403 is a process of extracting items related to the KPI from data items included in the past work history, and is a process of registering the data item in the worker information DB 211 used for the KPI calculation formula in association with the KPI. is there.
  • data used for calculation is recorded together with the KPI calculation formula.
  • step 404 is a process of calculating the contribution degree of the data item, and the data item recorded in association with the KPI calculation formula is indexed and registered as to how much it affects the KPI calculation.
  • the partial differential of the index based on the input parameter (the rate of change of the index with respect to the input parameter) is registered as a contribution calculation formula.
  • the contribution may be calculated by inputting an actual data item at the time of calculating the index, or the contribution may be determined by using the expected value or median of the contribution calculation formula as a representative value.
  • data items may be sampled at a predetermined interval from a preset maximum value to a minimum value and input to a KPI calculation formula, and the magnitude of KPI fluctuation may be used as the contribution.
  • step 406 is a process of calculating the average value of the additional item.
  • the additional items since not all work reports are input, an average value is calculated for the work reports stored in the worker information DB 211 in which the data item is input. The average value is used when there is no input of the data item.
  • FIG. 9 (b) is an example of a table showing the new business definition 210 shown in FIG. 2.
  • the new business definition “equipment DB high-precision” field information such as facility information and actual distribution lines recorded in the facility DB is shown. This is a business definition for checking the difference with the equipment installed in and adding the work to report if there is a difference.
  • a definition item 900, definition content 901, and remarks 902 are stored for each item.
  • the creator 904 and the creation date 905 record the creator who added the new business and the creation date.
  • the name 906 is the name of the new business, and the business summary 907 records the summary of the new business.
  • Report item (1) 908, report item (2) 909, and report item (3) 910 record the report item as the business content details of the new business. In this example, the equipment number and equipment name on the DB of the target equipment, and the type of equipment actually installed are reported.
  • KPI definition 911, input parameter definition (1) 912, input parameter definition (2) 913, and input parameter definition (3) 914 are definition formulas for calculating the effect of the new business.
  • the KPI is obtained by weighting the difference in operation (rated output) by the ease of deviation of the legal voltage at that point.
  • the input parameter definition (1) 912 is an additional item in another business before the new business is introduced. If there is an error in the equipment DB, it can be used for KPI calculation, and more errors in equipment with a larger difference in rated voltage output are reported at points where the legal power deviation probability is higher. The workers who are receiving high evaluation.
  • FIG. 12 shows an example of the new business definition user interface shown in FIG. 4, which is a KPI registration screen for the new business.
  • a screen 1201 in FIG. 12A is a screen for selecting data items stored in the worker information DB 211 used for the KPI definition.
  • a work report stored in the worker information DB 211 is selected from the menu 1202, and the menu is displayed.
  • a data item used in the KPI definition formula is selected.
  • FIG. 12B is a screen for inputting the KPI definition formula.
  • the KPI definition formula is input to the input item 1205, the data item selected on the screen 1201 from the menu 1206, and the input parameters entered using the KPI definition formula, For example, a conversion formula from a data item to an input parameter is described.
  • FIG. 13 and 14 are examples of tables in which associations between KPI evaluation index definition formulas and data items stored in the worker information DB 211 are recorded.
  • FIG. 13 shows the result of describing the association of the KPI definition index in the new business definition shown in FIG. 9, in the case where there is “input parameter definition (1)” and the additional item “equipment misalignment” as the data item in the row 1304. "Equipment number” is associated.
  • FIG. 14 shows the result of describing the association of the KPI definition index in another new business definition. The difference between the report times is set as an input parameter in line 1404, and the number of “equipment number” input in line 1405 (count) is an input parameter.
  • FIG. 5 is a processing flow showing worker evaluation, and shows details of the software operation in step 303 based on the worker evaluation 212.
  • step 501 For all field workers (step 501) and related work reports reported by all field workers (step 502), it is checked whether the following processing has been completed.
  • step 503 a data item associated with the KPI evaluation index is acquired.
  • the data item used as input data for the KPI evaluation index calculation recorded in step 403 in FIG. 4 is acquired.
  • step 504 If the data item is an item added by a worker, the corresponding data item may not exist (step 504). In this case, in step 505, the nonexistent data (missing data) is present. ) Item is complemented by the average value calculated in step 406 of FIG.
  • step 506 is a process of estimating, when the missing data is supplemented with an average value in step 505, the probability that the worker will show the effect indicated by the KPI evaluation index.
  • a parameter indicating the accuracy is held for each worker, and the accuracy parameter is decreased when there is a missing value in the data item to be input for the KPI evaluation index corresponding to the new work.
  • the ratio of items that are not missing values among all data items associated with the KPI evaluation index may be used as the accuracy parameter, or a certain amount according to the number of missing values from the reference value of the accuracy parameter determined in advance. May be subtracted, and any method may be used as long as the accuracy is higher as the missing value is smaller.
  • step 507 is a process for calculating a KPI evaluation index.
  • the associated data item or the complemented average value is calculated for the work data of the worker.
  • a KPI evaluation index is calculated as an input value. For example, when introducing a new work such as a dynamic assignment change of field work for the purpose of work leveling with the “work variation degree” for each worker regarding the work amount per hour as a KPI, reported from the work report 202 Using the difference in report time between successive work reports as a report interval, the amount of work per hour is calculated from the report interval, and the degree of work variation is calculated.
  • Step 508 is a process of calculating the average value of the KPI evaluation index.
  • the average value of the KPI evaluation index calculated for each work report data is calculated for the worker, and the average KPI evaluation index of the worker is calculated. To do.
  • Step 509 is a process for calculating and correcting the variance of the KPI evaluation index.
  • the variation of the KPI evaluation index is calculated from the work report data for the worker, and the accuracy calculated in step 506 and the accuracy shown in FIG.
  • the variation is corrected based on the contribution calculated in step 404.
  • the term “variation” means that when there is a certain amount of work report data, the dispersion of KPI evaluation indices may be varied, or the dispersion of KPI evaluation indices among all workers and all work report data may be varied. Good.
  • the correction based on the accuracy and the degree of contribution estimates a large variation when the contribution degree is high for a data item with low accuracy, and estimates the variation small when the contribution degree is low for a data item with high accuracy.
  • Step 510 is a process of calculating the probability that the KPI evaluation index is a certain value or more.
  • the KPI evaluation index is an average value and the distribution is a normal distribution in which variation is distributed
  • the KPI evaluation defined in advance is performed.
  • the probability of being equal to or higher than the index value is calculated and used as the evaluation value for the worker.
  • the evaluation method in this step is based on a normal distribution, there is a possibility that a worker who is highly likely to have a KPI evaluation index of a certain value or higher is highly evaluated, and the KPI evaluation index may be a certain value or more. Any method may be used as long as a low worker can be evaluated low, and evaluation may be performed based only on the average level, or may be performed based on only accuracy and contribution.
  • an abnormal value extraction method an average and variance for all inputs of the corresponding data item are calculated, and data that is more than a value obtained by multiplying the variance by a certain value, for example, three times or more, may be used as an abnormal value.
  • Data that falls outside the range defined by the maximum value or the minimum value specified in advance may be regarded as an abnormal value, and any method may be used as long as data that falls outside the normal input data range is handled as an abnormal value. .
  • FIG. 10 is a table showing an evaluation value calculation result for each worker, and is a result of determining the worker's evaluation according to the number of correct daily progress by the worker.
  • Column 1001 describes a worker's “affiliation” and column 1002 describes a “reporter”.
  • a column 1003 is the “number of daily progress reports” by the worker, and it is estimated from the work reports accumulated in the worker information DB 211 that the reports have been collectively made after a certain period of time has elapsed since the completion of the work. The thing is removed from the report time, and it is set as “the number of daily progress reports”.
  • a column 1004 describes the “KPI evaluation average”, and is a result of calculating the KPI evaluation index shown in step 508 from the number of daily progress reports.
  • a column 1005 is “accuracy” shown in step 506 in FIG. 5 and is calculated from the lack of daily progress loss.
  • a column 1006 is “likelihood” (a numerical value representing likelihood) calculated from the accuracy. Thereby, the worker is evaluated from the height of the “KPI evaluation average” and the smallness of the “likelihood”.
  • FIG. 6 is a process flow diagram showing the organization evaluation, and shows the details of the software operation in step 303 based on the worker evaluation 212.
  • Another method of the worker evaluation method shown in FIG. 5 is a method of evaluating an organization that is a group of workers of a certain amount or more.
  • step 602 evaluates all workers belonging to the organization by the worker evaluation method shown in FIG.
  • step 603 is processing for calculating the average value and variance of the worker evaluation, and calculates the average value and variance of the KPI evaluation index for the workers belonging to the organization.
  • Step 604 is a process of selecting a tissue having a large evaluation value distribution equal to or greater than a predetermined value, and is based on the premise that the worker follows a normal distribution based on the average value and variance of the KPI evaluation index. Select an organization with a high probability of selecting workers with an evaluation index value or higher. Here, it is assumed that there is a KPI evaluation index value that is a threshold defined in advance. However, when selecting a certain number of organizations, ranking may be performed with high probability to select the organization. Good.
  • FIG. 7 is a process flow diagram showing a field work report, in which a worker reports a work result including a work report 202 and an item addition 203 as a work history from the field terminal 105 when working in the field.
  • step 701 is a process of inputting a field work report, and a work report required in normal field work is inputted from the input / output device 116 of the field terminal 105.
  • a work report required in normal field work is inputted from the input / output device 116 of the field terminal 105.
  • data items to be regularly reported are determined in advance, and are defined by a work instruction 208 and a new work definition 210.
  • step 702 If there is an item to be additionally reported separately from the work report (step 702), the data item to be input is added in the item addition 203 and reported as additional information together with the work report. At this time, in step 703, a list of additional items is displayed, and a list of data items added by another worker in the same field work is browsed.
  • step 705 inputs the name of the data item to be input and creates a new data item.
  • step 706 the name of the data item to be input is selected, and in step 707, the report content is input to the data item.
  • step 708 the report contents specified in advance and the contents to be reported as additions are transmitted to the business performance management server 101 to obtain work reports of the field work.
  • FIG. 8 is a table showing the contents of the work report 202 in the field work report shown in FIG. 7.
  • the worker inputs from the input / output device 116 of the field terminal 105, and the work report 202 It is an example of information reported to the report reception 206 and accumulated in the worker information DB 211.
  • the work report 202 of FIG. 8 shows the report contents regarding the field work for checking and maintaining the deterioration and failure of the distribution equipment
  • the column 801 is the “reporter” of the check and maintenance work
  • the column 802 is the “ “Report time”
  • column 803 is "equipment No” to be maintained
  • column 804 is "equipment type”.
  • column 805 is a “location” where the maintenance target facility is installed
  • column 806 is a “defect content” indicating the deterioration status or failure status of the maintenance target facility
  • column 807 is a “defect level” of the failure content. It is.
  • Columns 801 to 807 are normal work reports for reporting facilities with deterioration or failure in inspection / maintenance work for distribution facilities.
  • a column 808 additionally reports the difference between the information on the maintenance target equipment acquired by the business instruction acquisition 201 from the business instruction 208 and the business instruction transfer 204 and the actually installed equipment “Remarks (1 ) Equipment misalignment ".
  • a column 809 is “Remarks (2) Monitored items” that reports monitoring items related to facilities other than the deterioration or failure of the maintenance target facility in order to call attention at the next inspection and maintenance work.
  • the column 810 is “Remarks (3) Building” that reports a building that is adjacent to the power distribution facility and may interfere with the distribution facility. Columns 808 to 810 are different from the normal work report in the inspection / maintenance work of the power distribution equipment, and the worker himself adds items by the item addition 203 and the processing flow shown in step 705 in FIG. This is an additional item.
  • Line 812 is a work report reported to the worker “Taro Hitachi” on May 30, 2011 at 17:10. It has been reported that “AA-made transformer” of “1011” has a defect of “side break” and is at the “work required” defect level. In addition, “Remarks (3) Buildings” are additionally reported to be “under construction of high-rise buildings” around the equipment to be maintained.
  • 101 business performance management server
  • 102 communication path
  • 103 GW
  • 104 business commission management server
  • 106 business plan management server
  • 105 field terminal
  • 110, 112, 119, 126 CPU
  • 111, 114, 120 127: Main memory 107, 108, 109, 123: Communication device 115, 116, 118, 125: I / O device 114, 117, 121: Secondary storage

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Abstract

When a new task with no track record has been introduced and an attempt is being made to select workers, the present invention selects a worker suited to the new task on the basis of work experience with tasks in the past. The contents and reporting method of a work report prepared when each worker accomplishes a task are saved to a work history database, and when a new task is introduced, the contents and reporting method of the work reports are analyzed, the degree of suitability for the new task is evaluated, and a worker is selected. Data items stored in the work history database are used as performance indicators (KPI) and a KPI definition formula and KPI potential value are calculated for the new task. In calculating the degree of suitability for the new task, a worker who has inputted either accurately or without omission the data items used in calculating the KPI definition formula and KPI potential value is evaluated high, and a worker for whom there are numerous omissions and inaccuracies in the data items used to calculate the KPI definition formula and KPI potential value is evaluated low.

Description

業務の作業員割り当て方法How to assign work workers
　本発明は、機器の保守作業計画において担当作業員の割当方法に関するものである。特に、配電設備の保守作業計画において、新規の保守作業を導入する際に先行導入する作業員を選定し作業を割り当てる方法に関するものである。 The present invention relates to a method for assigning workers in charge of equipment maintenance work plans. In particular, the present invention relates to a method for selecting a worker to be introduced in advance and assigning the work when introducing a new maintenance work in a maintenance work plan for a distribution facility.
　フィールドに配置した多数の機器に対して保守業務を実施する場合、フィールドで機器の点検などの保守業務を実施する作業員を選定し、作業計画に基づいて作業内容を割当て、作業員に対して保守業務の遂行を依頼又は指示する。作業員は依頼又は指示内容に基づいてフィールドへ赴き、所定の手順に基づいて保守対象の機器を検査し、不具合があれば依頼者に対して報告する。 When performing maintenance work on a large number of devices placed in the field, select a worker to perform maintenance work such as equipment inspection in the field, assign work contents based on the work plan, and Request or direct maintenance work. The worker goes to the field based on the contents of the request or instruction, inspects the maintenance target device based on a predetermined procedure, and reports any trouble to the client.
　通常は、保守対象となる機器や保守する地域に関するスキル・知識を有する作業員を選定し、作業を遂行することが、不具合を見落とすことなく発見するという目的において最も効果的と予想される。そのためには、実施する予定の保守業務に合致するスキル・知識を保有する作業員について、作業の依頼又は指示者が知っていることが必要となる。 Usually, it is expected to be the most effective for the purpose of discovering without missing a failure by selecting a worker who has skills and knowledge about the equipment to be maintained and the area to be maintained. For this purpose, it is necessary for the work request or the instructor to know the workers who possess the skills and knowledge that match the maintenance work to be performed.
　これを実現するためのシステムとしては、各作業員のスキル・知識として過去に従事した業務内容や資格を格納したデータベースを保持し、保守業務を依頼又は指示する際に保守業務に合致するスキル・知識を有する作業員を検索して提示することで、効果的な作業員の割当を実現する。 As a system for realizing this, a database that stores work contents and qualifications that have been engaged in the past as skills and knowledge of each worker is maintained, and skills and skills that match maintenance work when requesting or instructing maintenance work are included. Effective worker assignment is realized by searching and presenting knowledgeable workers.
　例えば、特許文献１においては、スキル・知識の把握が困難な派遣作業員やテレワーカを対象に、作業員のスキル情報を記憶したスキル記憶手段と、業務に対する作業項目の情報を記憶した作業項目情報記憶手段と業務に対する各作業項目の作業員の情報を記憶可能な業務情報記憶手段を有し、過去の研修受講履歴などのスキル情報を作業員ごとに記憶しておき、業務を受け付けると各作業項目について前記スキル情報が一致する作業員を選定する。
特許文献１に記載の記述により、作業員のスキル情報と、作業項目が一致する作業員へ業務を依頼又は指示することで、より効果的な業務の遂行が可能となる。 For example, in Patent Document 1, for temporary workers and teleworkers whose skills and knowledge are difficult to grasp, skill storage means storing worker skill information and work item information storing work item information for work It has work information storage means that can store information on workers for each work item for storage means and work, stores skill information such as past training attendance history for each worker, and receives work and each work A worker who matches the skill information for the item is selected.
According to the description in Patent Document 1, a more effective work can be performed by requesting or instructing a worker whose work information matches the skill information of the worker.
特許第３９７９２７６号Patent No. 3979276
　しかしながら、特許文献１に記載の技術では、業務は作業項目に分割して記憶することが事前に可能であるとされており、また、各作業項目に対応するスキルは事前に対応付け可能であるとされている。また、作業員のスキル情報は、研修受講履歴や取得資格の有無などのように定型的、かつ、事前に定義可能なものに限られる。 However, in the technique described in Patent Document 1, it is assumed that work can be divided into work items and stored in advance, and skills corresponding to each work item can be associated in advance. It is said that. Further, the skill information of the worker is limited to information that can be defined in advance, such as a training history and whether or not there is an acquisition qualification.
　このため、業務や作業項目とスキル情報との対応付けを事前に決定出来ない場合に上記の技術を適用することは困難である。例えば、今までに実施実績の無い新たな業務を導入し、そのための作業員を選定しようとする場合においては、どの研修や資格が新たな業務に対応付けられるかを決定することは困難である。また、研究受講履歴や資格取得が新たな業務の遂行にどの程度寄与するかを判断することは困難である。そのため、新規の業務に適した作業員を選定することが出来ず、業務の信頼性が落ち、また、新たな業務の効果が正しく評価出来ないことが想定される。 For this reason, it is difficult to apply the above technique when it is not possible to determine in advance the correspondence between work and work items and skill information. For example, when introducing a new business that has not been implemented so far and trying to select workers for it, it is difficult to determine which training and qualifications can be associated with the new business . In addition, it is difficult to determine how much research attendance history and qualification acquisition contribute to the performance of new work. Therefore, it is assumed that workers suitable for new work cannot be selected, the work reliability is lowered, and the effect of the new work cannot be evaluated correctly.
　また、前記特許文献１に記載の技術においては、スキル・知識は、研修受講履歴(修了予定含む)と過去の作業項目における仕事履歴のみである。 In the technique described in Patent Document 1, skills and knowledge are only a training attendance history (including planned completion) and a work history of past work items.
　そのため、過去の業務遂行時における業務の信頼度や報告内容といった業務の遂行結果から適切な作業員を選定することは出来ない。例えば、研修受講履歴や仕事履歴が全く同一、または、同等の作業員が複数存在したとしても、業務毎に遂行時の精度や早さには差があると考えられ、業務毎に適した作業員を選定することが出来ない。 Therefore, it is not possible to select an appropriate worker based on the result of the work such as the reliability of the work and the contents of the report at the time of the past work. For example, even if there are multiple workers who have exactly the same training history or work history, or there are multiple equivalent workers, there is a difference in the accuracy and speed at the time of execution for each job, and work suitable for each job A member cannot be selected.
　本発明の目的は、新規業務を導入し作業員を割り当てる場合に、業務指標の向上に効果が高いと思われる作業員を自動的に選定する方法を提供することである。 An object of the present invention is to provide a method for automatically selecting a worker who is considered to be highly effective in improving a work index when a new work is introduced and a worker is assigned.
　本発明の目的を達成するため、各作業員が業務を遂行した際の作業報告の内容と報告方法を業務履歴データベースへ蓄積し、新規の業務を導入する際には前記作業報告の内容と報告方法を解析して新規の業務への適合度を評価し作業員を選定する。ここで、新規業務では(主要)業務指標(ＫＰＩ：Key Performance Indicators)として前記業務履歴データベースに格納されたデータ項目を利用してＫＰＩ定義式やＫＰＩ見込み値の算出を行う。新規の業務への適合度の算出においては、ＫＰＩ定義式やＫＰＩ見込み値算出に利用したデータ項目を正確に、又は、漏れなく入力している作業員を高く評価し、ＫＰＩ定義式やＫＰＩ見込み値算出に利用したデータ項目に抜けや不正確な記載の多い作業員を低く評価する。また、業務履歴データベースに蓄積されるデータ項目は、業務遂行時の正式な報告項目だけではなく、作業員が備考として新規に追加、作成したデータ項目でもよい。また、ＫＰＩ定義式やＫＰＩ見込み値算出に利用するデータ項目は、作業員が意識的に作成、入力した項目だけでなく報告時間や報告回数などの報告方法から算出した値であってもよい。これにより、正式な報告項目、備考として追加されたデータ項目、報告方法から算出されたデータなどの情報から、「ＫＰＩを高精度に算出が可能な報告を行う作業員」という観点で作業員を選定することが可能となる。 In order to achieve the object of the present invention, the contents and report methods of work reports when each worker performs the work are accumulated in the work history database, and the contents and report of the work report when introducing a new work. Analyze the method to evaluate the suitability for new work and select workers. Here, in the new business, the KPI definition formula and the KPI expected value are calculated using the data items stored in the business history database as the (main) business index (KPI: Key Performance Indicators). When calculating the fitness for a new job, highly evaluate workers who input the data items used for KPI definition formulas and KPI expected value calculation accurately or without omission, and evaluate KPI definition formulas and KPI prospects. Workers with many missing or inaccurate descriptions in the data items used for value calculation are evaluated low. Further, the data items stored in the work history database may be data items newly added and created as remarks by the worker as well as formal report items at the time of business execution. Further, the data items used for the KPI definition formula and the KPI estimated value calculation may be values calculated from the reporting method such as the reporting time and the number of reports as well as the items consciously created and input by the worker. As a result, from the viewpoint of "working workers who can calculate KPI with high accuracy" from information such as official report items, data items added as remarks, data calculated from the reporting method, etc. It becomes possible to select.
　例えば、スマートグリッド(smart grid)の進展に伴って、配電系統の電圧制御はより高精度な制御が必要となると予想されている。それに伴って、配電上の設備と制御に利用する設備ＤＢへの登録内容とのズレが大きな問題となると予想される。そこで、従来からの機器の保守業務に加えて、実際の設備と設備ＤＢとのズレを発見する新たなフィールド業務が追加された場合、新規業務による配電制御の精度向上の度合を見込まれるＫＰＩとして、従来の保守業務時に実際の設備と設備ＤＢとのズレを備考として報告していた作業員を選定し、新規業務を試験的に割り振る。これにより、作業員は実際の設備と設備ＤＢとのズレの発見に経験とスキルがあると予想されるので、全く経験の無い作業員へ新規業務を割り当てる場合と比較して、新規業務の効果が不当に低くみなされることが防止できる。 For example, with the progress of smart grids, it is expected that voltage control of the distribution system will require more precise control. Along with this, it is expected that the difference between the equipment on power distribution and the contents registered in the equipment DB used for control will become a big problem. Therefore, in addition to the conventional equipment maintenance work, when a new field work is added to discover the gap between the actual equipment and the equipment DB, the KPI is expected to improve the accuracy of power distribution control by the new work. The worker who reported the deviation between the actual equipment and the equipment DB at the time of the conventional maintenance work as a remark is selected, and a new work is allocated on a trial basis. As a result, the workers are expected to have experience and skills in finding the gap between the actual equipment and the equipment DB, so the effect of the new work is better than when assigning new work to a worker who has no experience at all. Can be prevented from being unreasonably low.
　上記の事項を達成するため、本発明は、以下の構成を備える。即ち、新規業務を評価するための業務指標の定義として記述された、業務履歴データの項目を組み合わせた定義式、または、業務履歴データの項目を組み合わせて算出された業務指標見込み値の算出方法の少なくとも一方を取得し、
業務履歴データから、業務指標の定義式に含まれる項目、または、業務指標見込み値の算出方法で利用された項目を抽出し、
業務指標の定義式に含まれる項目、または、業務指標見込み値の算出方法で利用された項目に対して、業務指標、または、業務指標見込み値の貢献度を評価し、
抽出された業務履歴データの項目について、入力の有無、及び入力の正確性を評価し、入力の有無、及び、入力の正確性の評価結果と業務指標への貢献度とに基づいて各データを入力した作業員を評価し、作業員の評価に基づいて新規業務に割り当てる作業員を選定する処理を実施する。 In order to achieve the above items, the present invention has the following configuration. In other words, the definition formula that combines the items of business history data described as the definition of the business index for evaluating a new business, or the calculation method of the expected value of business index calculated by combining the items of business history data Get at least one,
From the business history data, extract the items included in the business index definition formula or the items used in the calculation method of the business index expected value,
Evaluate the contribution of the business index or the expected value of the business index to the item included in the definition formula of the business index or the item used in the calculation method of the expected value of the business index.
For the extracted business history data items, the presence or absence of input and the accuracy of input are evaluated, and each data is determined based on the presence or absence of input, the evaluation result of input accuracy, and the degree of contribution to the business indicators. The input worker is evaluated, and a process for selecting a worker to be assigned to a new job based on the worker's evaluation is performed.
　本発明によれば、新規業務を導入し作業員を割り当てる場合に、以前の業務における作業報告を評価して作業員を選定することが可能となる。特に、新規業務の業務指標の定義と作業報告内のデータ項目の関係から業務指標の向上に効果が高いと思われる作業員を自動的に選定可能となる。 According to the present invention, when a new business is introduced and a worker is assigned, it is possible to select a worker by evaluating a work report in a previous business. In particular, it is possible to automatically select a worker who seems to be highly effective in improving the work index from the relationship between the definition of the work index of the new work and the data items in the work report.
本発明における代表的なハードウェア構成図である。It is a typical hardware block diagram in this invention. 本発明における代表的なソフトウェア構成図である。It is a typical software block diagram in this invention. 本発明の作業員選定に係る処理フローの例である。It is an example of the processing flow which concerns on the worker selection of this invention. 本発明の新規業務導入に係る詳細処理フローの例である。It is an example of the detailed processing flow which concerns on the new business introduction of this invention. 本発明の作業員評価に係る詳細処理フローの例である。It is an example of the detailed process flow which concerns on the worker evaluation of this invention. 本発明の組織評価に係る詳細処理フローの例である。It is an example of the detailed processing flow which concerns on structure | tissue evaluation of this invention. 本発明の作業報告入力に係る詳細処理フローの例である。It is an example of the detailed processing flow which concerns on the work report input of this invention. 本発明の作業報告データを示すテーブルの例である。It is an example of the table which shows the work report data of this invention. 本発明の新規業務指標を示すテーブルの例である。It is an example of the table which shows the new business parameter | index of this invention. 本発明の作業員評価を示すテーブルの例である。It is an example of the table which shows the worker evaluation of this invention. 本発明の概念図である。It is a conceptual diagram of this invention. 本発明の新規業務導入に係るユーザインターフェースの例である。It is an example of the user interface which concerns on the new business introduction of this invention. 本発明のデータ項目とＫＰＩ間の関連付けを示すテーブルの例である。It is an example of the table which shows the correlation between the data item of this invention, and KPI. 本発明のデータ項目とＫＰＩ間の関連付けを示すテーブルの例である。It is an example of the table which shows the correlation between the data item of this invention, and KPI. 本発明の作業報告データ入力に係るユーザインターフェースの例である。It is an example of the user interface which concerns on the work report data input of this invention.
　まず、実施形態の概要について説明する。 First, an outline of the embodiment will be described.
　本実施形態においては、電力機器の保守作業、特に、配電機器の保守作業において、配電機器が設置されている場所へ作業員を派遣し、機器の健全性を目視又は持参した検査装置により検査する。作業員は業務指示を受けて、現地に赴いて保守作業を実施する。 In the present embodiment, in the maintenance work of the power equipment, in particular, the maintenance work of the power distribution equipment, a worker is dispatched to the place where the power distribution equipment is installed, and the soundness of the equipment is visually inspected or inspected by an inspection device brought. . Workers receive work instructions and visit the site to perform maintenance work.
　図１１は、本発明における実施形態の一例を示す概念図である。 FIG. 11 is a conceptual diagram showing an example of an embodiment in the present invention.
　従来の保守業務においては、電力会社などのオフィス１１００からはフィールドの作業員に対して作業の依頼、又は、指示が出され（１１０１）、作業員は作業依頼の内容に基づいて、保守作業を実施する。故障や不具合のある機器を発見した場合、オフィスに対して報告を行う（１１０２）。その際、本来の業務である不具合の有る設備発見の報告だけでなく、備考として記載する補足情報や、日次（日取り）の進捗など報告方法に関する情報を報告することが可能である（１１０３）。 In the conventional maintenance work, an office 1100 such as an electric power company issues a work request or instruction to a field worker (1101), and the worker performs a maintenance work based on the content of the work request. carry out. When a faulty or defective device is found, a report is made to the office (1102). At that time, it is possible to report not only the discovery of a malfunctioning facility, which is the original business, but also supplementary information described as remarks and information related to the reporting method such as daily (date) progress (1103). ).
　電力会社などのオフィスが新たなフィールド作業の業務を導入しようとする際には、新規業務の導入効果の見積もりや業務指標の定義を作成し、特に、過去に実施した従来業務の報告内容から作成した導入効果の見積もりや業務指標定義を算出することで高信頼が得られ、改善が見込まれる作業員や組織に対して先行的に新規業務を導入できる。 When an office such as a power company intends to introduce a new field work job, create an estimate of the effect of introducing the new job and define a business index, especially from the report contents of the past work performed in the past. By calculating the estimated effect of introduction and the definition of work index, high reliability can be obtained, and new work can be introduced in advance to workers and organizations that are expected to improve.
　備考として記載する補足情報や、日次の進捗などの報告方法に関する情報の入力有無や入力の正確さを利用して（１１０４）、業務指標や導入効果見積もりの改善を評価することで（１１０５）、新規に導入する業務であっても、業務に適した作業員の選定が可能となる（１１０６）。 By using the presence / absence and accuracy of input of supplementary information to be described as remarks and information on reporting methods such as daily progress (1104), by evaluating improvements in business indicators and introduction effect estimation (1105) Even for a newly introduced business, it is possible to select a worker suitable for the business (1106).
　以下、図を用いて本発明の実施形態の例を説明する。 Hereinafter, an example of an embodiment of the present invention will be described with reference to the drawings.
　図１は、本発明における代表的なハードウェア構成図であり、図２は、ハードウェア構成上で動作する本発明における代表的なソフトウェア構成図である。 FIG. 1 is a typical hardware configuration diagram according to the present invention, and FIG. 2 is a typical software configuration diagram according to the present invention that operates on the hardware configuration.
　図３から図７は、ソフトウェア構成におけるソフトウェア処理フローであり、図３は、本発明の作業員選定に係る処理フローの例である。また、図４は、本発明の新規業務導入に係る詳細処理フローの例であり、図５及び図６は、本発明の作業員評価に係る詳細処理フローの例であり、図７は、本発明の作業報告入力に係る詳細処理フローの例である。 3 to 7 are software processing flows in the software configuration, and FIG. 3 is an example of a processing flow according to the worker selection of the present invention. 4 is an example of a detailed processing flow related to introduction of a new business of the present invention, FIGS. 5 and 6 are examples of a detailed processing flow related to worker evaluation of the present invention, and FIG. It is an example of the detailed processing flow which concerns on the work report input of invention.
　図８から図１０は、前記処理フローで利用されるテーブルの例であり、図８は、本発明の作業員報告データを示すテーブルの例であり、図９は、本発明の新規業務指標を示すテーブルの例であり、図１０は、本発明の作業員評価を示すテーブルの例である。 8 to 10 are examples of tables used in the processing flow, FIG. 8 is an example of a table showing worker report data according to the present invention, and FIG. 9 is a table of new business indices according to the present invention. FIG. 10 is an example of a table showing worker evaluation according to the present invention.
　まず、図１、及び、図２を参照しながら本発明における作業員選定方法の代表的な構成例を説明する。 First, a typical configuration example of the worker selection method in the present invention will be described with reference to FIG. 1 and FIG.
　図１は、本発明における代表的なハードウェア構成図の例であり、業務実績管理サーバ１０１、業務計画管理サーバ１０６は主として作業を依頼するオフィス側に設置された装置であり、業務依託管理サーバ１０４は主として作業依頼を受ける作業員の属する組織に設置される。また、フィールド端末１０５は作業員がフィールドでの作業時に操作、閲覧する端末である。 FIG. 1 is an example of a typical hardware configuration diagram according to the present invention. A business performance management server 101 and a business plan management server 106 are devices installed mainly on the office side requesting work, and a business commission management server. 104 is mainly installed in an organization to which a worker who receives a work request belongs. The field terminal 105 is a terminal that is operated and browsed by a worker when working in the field.
　業務計画管理サーバ１０６は、業務を作業員に指示する際に指示先となる作業員を選定して業務を割り当てるための計算機であり、業務実績管理サーバ１０１は、作業員のそれぞれのこれまで業務での報告内容を含む業務履歴データを管理する計算機であり、業務依託管理サーバ１０４は、顧客からの業務の依頼を受け付ける計算機である。従って、本発明における方法の動作の主体である業務計画管理サーバ１０６は、業務依託管理サーバ１０４から業務の依頼を受け取って、業務実績管理サーバ１０１で管理されている各作業員の業務履歴データに基づいて、依頼された業務に作業員を割り当てる。これらの計算機１０６、１０４、１０１は、通信路１０２を介して互いに接続されている。 The business plan management server 106 is a computer for assigning a business by selecting a worker to be instructed when the business is instructed to the worker, and the business performance management server 101 is a work history for each of the workers. The business commission management server 104 is a computer that accepts business requests from customers. Accordingly, the business plan management server 106, which is the subject of the operation of the method of the present invention, receives a business request from the business commission management server 104 and stores it in the business history data of each worker managed by the business performance management server 101. Based on this, assign workers to the requested work. These computers 106, 104, and 101 are connected to each other via a communication path 102.
　業務実績管理サーバ１０１は２次記憶１２１、通信装置１２３、入出力装置１２５、ＣＰＵ１２６、主記憶１２７から構成されており、２次記憶１２１及び主記憶１２７に本発明における作業員選定方法を格納し、ＣＰＵ１２６にて実行する。また、通信装置１２３、ＧＷ(Gate Way)１０３を介してフィールド端末１０５と通信する。 The business performance management server 101 includes a secondary storage 121, a communication device 123, an input / output device 125, a CPU 126, and a main storage 127. The worker selection method according to the present invention is stored in the secondary storage 121 and the main storage 127. And executed by the CPU 126. Further, it communicates with the field terminal 105 via the communication device 123 and the GW (Gate Way) 103.
　業務計画管理サーバ１０６は通信装置１０７、２次記憶１１７、入出力装置１１８、ＣＰＵ１１９、主記憶１２０から構成されており、２次記憶１１７及び主記憶１２０に本発明における作業員選定方法を格納し、ＣＰＵ１１９にて実行する。また、通信装置１０７及びＧＷ１０３を介して業務依託管理サーバ１０４及びフィールド端末１０５と通信する。 The business plan management server 106 includes a communication device 107, a secondary storage 117, an input / output device 118, a CPU 119, and a main memory 120. The worker selection method according to the present invention is stored in the secondary storage 117 and the main memory 120. And executed by the CPU 119. Further, it communicates with the business commission management server 104 and the field terminal 105 via the communication device 107 and the GW 103.
　業務依託管理サーバ１０４は通信装置１０８、ＣＰＵ１１２、主記憶１１３、２次記憶１１４、入出力装置１１５から構成されており、通信路１０２を介して顧客から業務の依頼を受け付ける。 The business commission management server 104 includes a communication device 108, a CPU 112, a main memory 113, a secondary storage 114, and an input / output device 115, and accepts business requests from customers via the communication path 102.
　フィールド端末１０５は通信装置１０９、ＣＰＵ１１０、主記憶１１１、入出力装置１１６から構成されており、通信路１０２及びＧＷ１０３を介して業務実績管理サーバ１０１と通信する。フィールド端末１０５は、例えばＰＤＡや携帯電話など、フィールド作業時に作業員が携行し、入出力装置１１６から作業指示内容の確認と作業報告の作成を行い、その結果を送信可能な端末であれば何れの形態でもよい。また、入出力装置１１６は、例えばキーボードなどの文字入力装置でもよいし、タッチペンなどの手書き入力装置でもよく、作業指示内容の確認と作業報告の作成が可能であれば何れの種別でもよい。 The field terminal 105 includes a communication device 109, a CPU 110, a main memory 111, and an input / output device 116, and communicates with the business performance management server 101 via the communication path 102 and the GW 103. The field terminal 105 may be any terminal that can be carried by a worker at the time of field work, such as a PDA or a mobile phone, confirms work instruction contents and creates a work report from the input / output device 116, and transmits the result. It may be a form. The input / output device 116 may be, for example, a character input device such as a keyboard or a handwriting input device such as a touch pen, and may be of any type as long as the work instruction content can be confirmed and a work report can be created.
　図１では、業務実績管理サーバ１０１、業務計画管理サーバ１０６、及び業務依託管理サーバ１０４をそれぞれ別の計算機で実現する例を示したが、これらのサーバ１０１、１０６、１０４の機能を１台の計算機で実現する、あるいは、サーバ１０１、１０６の機能を１台の計算機で実現した場合でも本発明の方法を適用できる。 Although FIG. 1 shows an example in which the business performance management server 101, the business plan management server 106, and the business commission management server 104 are realized by different computers, the functions of these servers 101, 106, and 104 are combined into one machine. The method of the present invention can be applied even when the computer is realized or the functions of the servers 101 and 106 are realized by a single computer.
　図２は、図１上の各部で動作するソフトウェア構成例である。図２を用いて、本実施例におけるソフトウェアの構成と、各ソフトウェアの動作概要を説明する。 FIG. 2 shows an example of software configuration that operates in each part of FIG. With reference to FIG. 2, the configuration of software in this embodiment and the outline of the operation of each software will be described.
　業務実績管理サーバ１０１は、フィールド作業員からの作業報告を管理するため、業務履歴ＤＢ２０７、報告受付２０６が動作する。報告受付２０６はフィールド端末１０５からの作業報告を受け付け、業務履歴ＤＢ２０７に蓄積する。 The business performance management server 101 operates a business history DB 207 and a report reception 206 in order to manage work reports from field workers. The report reception 206 receives work reports from the field terminal 105 and accumulates them in the work history DB 207.
　業務依託管理サーバ１０４は、業務履歴ＤＢ２０７に蓄積された作業報告データを参照し、新規業務定義２１０、作業員評価２１２、作業員選定２１３を実行し、本発明の作業員割り当て方法により作業員情報ＤＢ２１１に蓄積された作業員情報に基づいて、新業務に作業員を割り当てる。その結果として、新業務が割り当てられた作業員に対する業務指示が業務指示２０８から業務依託管理サーバ１０４へ送信される。 The work commission management server 104 refers to the work report data stored in the work history DB 207, executes a new work definition 210, a worker evaluation 212, and a worker selection 213, and uses the worker assignment method of the present invention to obtain worker information. Based on the worker information stored in the DB 211, workers are assigned to new work. As a result, a business instruction for a worker to which a new business is assigned is transmitted from the business instruction 208 to the business commissioning management server 104.
　業務依託管理サーバ１０４は、業務指示受付２０５にて業務指示２０８からの作業指示を受け取り、業務指示転送２０４から新業務が割り当てられた作業員が持つフィールド端末１０５へと業務指示を転送する。 The work commission management server 104 receives the work instruction from the work instruction 208 at the work instruction reception 205 and transfers the work instruction from the work instruction transfer 204 to the field terminal 105 of the worker to whom the new work is assigned.
　フィールド端末１０５は、業務指示取得２０１にて業務指示の内容を取得し、表示する。フィールド端末１０５を持つ作業員は、取得された業務指示に基づいて、例えば、電力機器の保守、点検作業などのフィールド作業を実施する。作業員はフィールド作業完了後、又は、適時、作業報告２０２から業務実績管理サーバ１０１に対してフィールド作業の結果を報告する。その際に、作業報告における事前に規定された項目以外に、追加して報告したい項目が有れば、項目追加２０３にて項目追加し、参考情報として報告する。 The field terminal 105 acquires the contents of the business instruction by the business instruction acquisition 201 and displays it. The worker having the field terminal 105 performs field work such as maintenance and inspection work of the power equipment based on the obtained business instruction. The worker reports the field work result to the work performance management server 101 from the work report 202 after the field work is completed or at an appropriate time. At that time, if there is an item to be added and reported in addition to the items specified in advance in the work report, the item is added in Item Addition 203 and reported as reference information.
　図３は本発明における新規業務での作業員選定方法を示す概要フローの例であり、図２で示した新規業務定義２１０、作業員評価２１２、作業員選定２１３の各ソフトウェアの動作によって実行される処理の例である。 FIG. 3 is an example of an outline flow showing a method for selecting a worker in a new job according to the present invention, which is executed by the operation of each software of the new job definition 210, worker evaluation 212, and worker selection 213 shown in FIG. This is an example of processing.
　まず、ステップ３０１は、新規業務の指標算出方法を取得する処理であり、新規業務定義２１０において入力された新規業務において想定される効果の指標算出方法を取得する処理である。本ステップの詳細については、図４の処理フローにて説明する。 First, step 301 is a process for acquiring an index calculation method for a new business, and is a process for acquiring an index calculation method for an effect expected in a new business input in the new business definition 210. Details of this step will be described in the processing flow of FIG.
　ステップ３０２は、各作業員のこれまでの作業報告を取得する処理であり、作業員評価２１２が業務履歴ＤＢ２０７に対して、過去の作業員毎の作業報告履歴を取得する処理である。新規業務定義２１０にて登録された作業内容から対象となる作業員を抽出し、ステップ３０１で取得した指標算出方法から対象となる報告データを抽出し、取得する。 Step 302 is a process of acquiring a work report so far for each worker, and the worker evaluation 212 is a process of acquiring a work report history for each past worker from the work history DB 207. The target worker is extracted from the work contents registered in the new business definition 210, and the target report data is extracted from the index calculation method acquired in step 301 and acquired.
　ステップ３０３は新規の業務における各作業員の指標を算出する処理であり、取得した作業報告の内容から各作業員の指標を算出する。ここで、指標算出方法から、作業報告における指標算出方法の入力パラメータを抽出し、各作業員の指標を算出する。本ステップの詳細については、図５の処理フローにて説明する。 Step 303 is a process of calculating the index of each worker in a new job, and calculates the index of each worker from the content of the acquired work report. Here, from the index calculation method, input parameters of the index calculation method in the work report are extracted, and the index of each worker is calculated. Details of this step will be described in the processing flow of FIG.
　ステップ３０５は選定された作業員へ業務を割り当てる処理であり、業務指示２０８より選定された作業員に対して業務依頼を発行する。 Step 305 is a process of assigning a task to the selected worker, and issues a job request to the worker selected from the job instruction 208.
　図４は新規業務導入を示す処理フローの例であり、新規業務定義２１０に基づいた、図３のステップ３０１でのソフトウェア動作の詳細である。 FIG. 4 is an example of a processing flow showing introduction of a new business, and shows details of the software operation in step 301 of FIG. 3 based on the new business definition 210.
　まず、ステップ４０１は新たなフィールド業務内容を入力する処理であり、入出力装置１１８より新規の業務として、フィールド作業員の業務内容が入力される。 First, step 401 is a process of inputting new field work contents, and the work contents of a field worker are inputted as a new work from the input / output device 118.
　ステップ４０２は新たなフィールド業務のＫＰＩ算出式を登録する処理であり、ステップ４０１において入力された新規業務の効果を示すＫＰＩ算出式を登録する処理である。新規業務の達成度や、新規業務全体での効果を指標化して算出するための方法を、ＫＰＩ算出式として登録する。ＫＰＩ算出式は、フィールド作業員の報告や、フィールドに設置されたセンサ情報から得られる情報を入力パラメータとして、新規作業の効果の高低を示す値へと変換する方法であれば何れの方法でもよく、例えば、フィールド作業員による報告内容を数値化する方法や、数値化された報告内容をパラメータとして効果指標を算出する関数でもよい。また、入力パラメータには、項目追加２０３によって作業員により追加された報告項目を含んでもよい。例えば、配電線に設置された設備の劣化度合を点検するフィールド業務において、本来業務には含まれていない、設備型式の登録誤りを発見した際に項目追加２０３により設備型式誤りを報告されていた場合、設備型式誤り割合を入力パラメータとして、配電電圧の制御精度向上率をＫＰＩとしてもよい。 Step 402 is a process for registering a new field work KPI calculation formula, and a process for registering a KPI calculation formula indicating the effect of the new work input in step 401. A method for indexing and calculating the achievement level of new business and the effect of the entire new business is registered as a KPI calculation formula. The KPI calculation formula may be any method as long as it is a method for converting the information obtained from the field worker's report or sensor information installed in the field into a value indicating the level of the effect of the new work. For example, a method of quantifying the report content by a field worker or a function for calculating an effect index using the quantified report content as a parameter may be used. Further, the input parameter may include a report item added by the worker by the item addition 203. For example, in the field work for checking the degree of deterioration of the equipment installed on the distribution line, when an equipment type registration error that was not originally included in the work was discovered, the equipment type error was reported by item addition 203. In this case, the equipment type error rate may be used as an input parameter, and the control accuracy improvement rate of the distribution voltage may be set as KPI.
　また、入力パラメータには、複数の報告内容を跨って演算した値を含んでもよい。例えば、作業報告２０２より報告された連続する作業報告の報告時間の差を報告間隔とし、報告間隔より時間当たりの作業量を算出して入力パラメータとし、時間当たりの作業量の作業員、又は、組織毎の分散を「作業バラツキ度」としてＫＰＩを算出してもよい。 Also, the input parameter may include a value calculated across multiple report contents. For example, the difference between the reporting times of consecutive work reports reported from the work report 202 is used as a report interval, the work amount per hour is calculated from the report interval as an input parameter, and the worker of the work amount per hour, or The KPI may be calculated using the variance for each organization as the “work variation degree”.
　ステップ４０３は過去の作業履歴に含まれるデータ項目の中からＫＰＩに関係する項目を抽出する処理であり、ＫＰＩ算出式に利用する作業員情報ＤＢ２１１中のデータ項目をＫＰＩに関連付けて登録する処理である。ＫＰＩ算出式の定義において、算出に利用するデータをＫＰＩ算出式と共に記録する。 Step 403 is a process of extracting items related to the KPI from data items included in the past work history, and is a process of registering the data item in the worker information DB 211 used for the KPI calculation formula in association with the KPI. is there. In the definition of the KPI calculation formula, data used for calculation is recorded together with the KPI calculation formula.
　次ぎに、ステップ４０４はデータ項目の貢献度を算出する処理であり、ＫＰＩ算出式に関連付けて記録されたデータ項目についてＫＰＩ算出にどの程度影響するかを指標化して登録する。例えば、あるデータ項目を入力パラメータとするＫＰＩ算出式について、入力パラメータによる指標の偏微分（入力パラメータに対する指標の変化率）を貢献度算出式として登録し、ステップ３０３にて前述した作業員毎の指標算出時に実際のデータ項目を入力して貢献度を算出してもよいし、貢献度算出式の期待値や中央値を代表値として貢献度としてもよい。また、例えば、データ項目を事前に設定された最大値から最小値まで一定の間隔でサンプリングしてＫＰＩ算出式へ入力し、ＫＰＩの変動の大小を貢献度としてもよい。 Next, step 404 is a process of calculating the contribution degree of the data item, and the data item recorded in association with the KPI calculation formula is indexed and registered as to how much it affects the KPI calculation. For example, for a KPI calculation formula that uses a certain data item as an input parameter, the partial differential of the index based on the input parameter (the rate of change of the index with respect to the input parameter) is registered as a contribution calculation formula. The contribution may be calculated by inputting an actual data item at the time of calculating the index, or the contribution may be determined by using the expected value or median of the contribution calculation formula as a representative value. In addition, for example, data items may be sampled at a predetermined interval from a preset maximum value to a minimum value and input to a KPI calculation formula, and the magnitude of KPI fluctuation may be used as the contribution.
　ＫＰＩ算出式に入力とされるデータ項目に、項目追加２０３によって作業員により追加された報告項目が含まれている場合（ステップ４０５）、ステップ４０６は追加項目の平均値を算出する処理である。追加項目については、全ての作業報告に入力があるわけではないので、作業員情報ＤＢ２１１に蓄積されている作業報告の中で当該データ項目が入力されているものについて平均値を算出する。平均値は、当該データ項目の入力が無い場合に利用される。 When the data item input to the KPI calculation formula includes a report item added by the worker by the item addition 203 (step 405), step 406 is a process of calculating the average value of the additional item. As for the additional items, since not all work reports are input, an average value is calculated for the work reports stored in the worker information DB 211 in which the data item is input. The average value is used when there is no input of the data item.
　図９ は、図２で示した新規業務定義２１０を示すテーブルの例であり、新業務定義「設備ＤＢ高精度化」として、設備ＤＢに記録されている設備情報と実際に配電線などのフィールドに設置されている設備との相違を点検し、相違が有れば報告する業務を追加するための業務定義である。新規業務定義２１０のテーブルには、各項目ごとに、定義項目９００、定義内容９０１、及び備考９０２が格納されている。 FIG. 9 (b) is an example of a table showing the new business definition 210 shown in FIG. 2. As the new business definition “equipment DB high-precision”, field information such as facility information and actual distribution lines recorded in the facility DB is shown. This is a business definition for checking the difference with the equipment installed in and adding the work to report if there is a difference. In the table of the new business definition 210, a definition item 900, definition content 901, and remarks 902 are stored for each item.
　作成者９０４、作成日時９０５は当該新規業務を追加した作成者と作成日時を記録する。名称９０６は当該新規業務の名称であり、業務概要９０７は当該新規業務の概要を記録する。報告項目（１）９０８、報告項目（２）９０９、報告項目（３）９１０は、当該新規業務の業務内容詳細として報告項目を記録する。本例では、対象設備のＤＢ上での設備番号と設備名称、及び、実際に設置されている設備の型式を報告する。 The creator 904 and the creation date 905 record the creator who added the new business and the creation date. The name 906 is the name of the new business, and the business summary 907 records the summary of the new business. Report item (1) 908, report item (2) 909, and report item (3) 910 record the report item as the business content details of the new business. In this example, the equipment number and equipment name on the DB of the target equipment, and the type of equipment actually installed are reported.
　ＫＰＩ定義９１１、入力パラメータ定義（１）９１２、入力パラメータ定義（２）９１３、入力パラメータ定義（３）９１４は、当該新規業務の効果を算出するための定義式であり、本例では、修正対象となった設備番号と、当該地点での電力制御の難しさを示す「法定電力逸脱確率」と、設備ＤＢの修正前後における「定格電圧出力の差」であり、設備ＤＢの修正により解消する設備の動作（定格出力）の差を、その地点での法定電圧の逸脱し易さで重み付けしたものをＫＰＩとしている。 KPI definition 911, input parameter definition (1) 912, input parameter definition (2) 913, and input parameter definition (3) 914 are definition formulas for calculating the effect of the new business. Equipment number, “legal power deviation probability” indicating the difficulty of power control at the relevant point, and “difference in rated voltage output” before and after the modification of the equipment DB. The KPI is obtained by weighting the difference in operation (rated output) by the ease of deviation of the legal voltage at that point.
　ここで、ステップ４０３で示した過去の作業履歴に含まれるデータ項目の中からＫＰＩに関係する項目を抽出する処理においては、入力パラメータ定義（１）９１２が新規業務導入前に別業務において追加項目として設備ＤＢの誤りを報告している場合、ＫＰＩ算出に利用することが可能であり、より法定電力逸脱確率が高い地点について、より定格電圧出力の差が大きな設備の誤りを、より多く報告している作業員が高い評価を受ける。 Here, in the process of extracting items related to the KPI from the data items included in the past work history shown in step 403, the input parameter definition (1) 912 is an additional item in another business before the new business is introduced. If there is an error in the equipment DB, it can be used for KPI calculation, and more errors in equipment with a larger difference in rated voltage output are reported at points where the legal power deviation probability is higher. The workers who are receiving high evaluation.
　図１２は、図４で示した新規業務定義のユーザインターフェースの例であり、新規業務に対するＫＰＩの登録画面である。図１２（ａ）の画面１２０１は、ＫＰＩ定義に利用する作業員情報ＤＢ２１１に蓄積されたデータ項目を選択する画面であり、メニュー１２０２より作業員情報ＤＢ２１１に蓄積された作業報告を選択し、メニュー１２０３にてＫＰＩ定義式で利用するデータ項目を選択する。図１２（ｂ）は、ＫＰＩ定義式を入力する画面であり、入力項目１２０５へＫＰＩ定義式を入力し、メニュー１２０６にて画面１２０１にて選択したデータ項目とＫＰＩ定義式で記入した入力パラメータとの関係、例えば、データ項目から入力パラメータへの変換式を記述する。 FIG. 12 shows an example of the new business definition user interface shown in FIG. 4, which is a KPI registration screen for the new business. A screen 1201 in FIG. 12A is a screen for selecting data items stored in the worker information DB 211 used for the KPI definition. A work report stored in the worker information DB 211 is selected from the menu 1202, and the menu is displayed. In 1203, a data item used in the KPI definition formula is selected. FIG. 12B is a screen for inputting the KPI definition formula. The KPI definition formula is input to the input item 1205, the data item selected on the screen 1201 from the menu 1206, and the input parameters entered using the KPI definition formula, For example, a conversion formula from a data item to an input parameter is described.
　図１３及び図１４は、ＫＰＩ評価指標定義式と作業員情報ＤＢ２１１に蓄積されたデータ項目との間の関連付けを記録したテーブルの例である。図１３は、図９で示した新規業務定義におけるＫＰＩ定義指標の関連付けを記載した結果であり、行１３０４において「入力パラメータ定義(1)」とデータ項目として追加項目「設備ズレ」が有る場合の「設備番号」が関連付けられている。また、図１４は、別の新規業務定義におけるＫＰＩ定義指標の関連付けを記載した結果であり、行１４０４にて報告時刻間の差が入力パラメータとされ、行１４０５にて「設備番号」の入力個数(count)が入力パラメータとされている。 13 and 14 are examples of tables in which associations between KPI evaluation index definition formulas and data items stored in the worker information DB 211 are recorded. FIG. 13 shows the result of describing the association of the KPI definition index in the new business definition shown in FIG. 9, in the case where there is “input parameter definition (1)” and the additional item “equipment misalignment” as the data item in the row 1304. "Equipment number" is associated. FIG. 14 shows the result of describing the association of the KPI definition index in another new business definition. The difference between the report times is set as an input parameter in line 1404, and the number of “equipment number” input in line 1405 (count) is an input parameter.
　このように、ＫＰＩ定義指標で利用される入力パラメータと、作業報告のデータ項目間の関係を記録することによって、データ項目の入力有無や入力精度を評価することで、作業員がどのていど新規業務に適合可能かを評価可能となる。 In this way, by recording the relationship between the input parameters used in the KPI definition index and the data items of the work report, by evaluating the presence / absence of the data items and the input accuracy, it is possible It becomes possible to evaluate whether it can be adapted to the business.
　図５は作業員評価を示す処理フローであり、作業員評価２１２に基づいた、ステップ３０３でのソフトウェア動作の詳細である。 FIG. 5 is a processing flow showing worker evaluation, and shows details of the software operation in step 303 based on the worker evaluation 212.
　全てのフィールド作業員（ステップ５０１）、及び、全てのフィールド作業員が報告した関連する作業報告について（ステップ５０２）、以下の処理が完了したかどうかをチェックする。 For all field workers (step 501) and related work reports reported by all field workers (step 502), it is checked whether the following processing has been completed.
　まず、ステップ５０３において、ＫＰＩ評価指標に関連付けられたデータ項目を取得する。対象となる新規業務のＫＰＩ評価指標において、図４のステップ４０３にて記録したＫＰＩ評価指標算出に入力データとして利用するデータ項目を取得する。 First, in step 503, a data item associated with the KPI evaluation index is acquired. In the KPI evaluation index of the target new business, the data item used as input data for the KPI evaluation index calculation recorded in step 403 in FIG. 4 is acquired.
　ここで、データ項目が作業員によって追加された項目であった場合は、対応するデータ項目が存在しないことがあるが（ステップ５０４）、その場合、ステップ５０５にて、前記存在しないデータ（欠損データ）項目を、図４のステップ４０６にて算出した平均値で補完する。 If the data item is an item added by a worker, the corresponding data item may not exist (step 504). In this case, in step 505, the nonexistent data (missing data) is present. ) Item is complemented by the average value calculated in step 406 of FIG.
　次ぎに、ステップ５０６は、ステップ５０５にて欠損データを平均値で補完した場合、当該作業員がＫＰＩ評価指標の示す効果を挙げる確度を低く見積もる処理である。作業員毎に確度を示すパラメータを保持し、新規業務に対応するＫＰＩ評価指標について入力となるデータ項目に欠損値がある場合に、確度パラメータを減少させる。例えば、ＫＰＩ評価指標に関連付けられた全てのデータ項目の中で欠損値でない項目の割合を確度パラメータとしてもよいし、事前に決められた確度パラメータの基準値から欠損値の個数に応じて一定量を減算してもよいし、欠損値が少ないほど確度が高くなる算出方法であれば何れの方法でもよい。 Next, step 506 is a process of estimating, when the missing data is supplemented with an average value in step 505, the probability that the worker will show the effect indicated by the KPI evaluation index. A parameter indicating the accuracy is held for each worker, and the accuracy parameter is decreased when there is a missing value in the data item to be input for the KPI evaluation index corresponding to the new work. For example, the ratio of items that are not missing values among all data items associated with the KPI evaluation index may be used as the accuracy parameter, or a certain amount according to the number of missing values from the reference value of the accuracy parameter determined in advance. May be subtracted, and any method may be used as long as the accuracy is higher as the missing value is smaller.
　次ぎに、ステップ５０７はＫＰＩ評価指標を算出する処理であり、当該作業員の、当該作業データに対して、ＫＰＩ評価指標方法に基づいて、関連付けられたデータ項目、又は、補完された平均値を入力値としてＫＰＩ評価指標を算出する。例えば、時間当たりの作業量に関する作業員ごとの「作業バラツキ度」をＫＰＩとして、作業平準化を目的としたフィールド作業の動的割り当て変更といった新規業務を導入する場合、作業報告２０２より報告された連続する作業報告の報告時間の差を報告間隔として、報告間隔から時間当たりの作業量を算出し、作業バラツキ度を算出する。 Next, step 507 is a process for calculating a KPI evaluation index. Based on the KPI evaluation index method, the associated data item or the complemented average value is calculated for the work data of the worker. A KPI evaluation index is calculated as an input value. For example, when introducing a new work such as a dynamic assignment change of field work for the purpose of work leveling with the “work variation degree” for each worker regarding the work amount per hour as a KPI, reported from the work report 202 Using the difference in report time between successive work reports as a report interval, the amount of work per hour is calculated from the report interval, and the degree of work variation is calculated.
　また、ステップ５０８は、ＫＰＩ評価指標の平均値を算出する処理であり、当該作業員について作業報告データ毎に算出したＫＰＩ評価指標の平均値を算出し、当該作業員の平均ＫＰＩ評価指標を算出する。 Step 508 is a process of calculating the average value of the KPI evaluation index. The average value of the KPI evaluation index calculated for each work report data is calculated for the worker, and the average KPI evaluation index of the worker is calculated. To do.
　また、ステップ５０９は、ＫＰＩ評価指標の分散を算出、補正する処理であり、当該作業員について作業報告データからＫＰＩ評価指標のバラツキを算出し、また、ステップ５０６で算出した確度と、図４のステップ４０４で算出した貢献度を基にバラツキを補正する。ここで、バラツキとは、一定量の作業報告データが存在する場合には、ＫＰＩ評価指標の分散をバラツキとしてもよいし、全作業員、全作業報告データにおけるＫＰＩ評価指標の分散をバラツキとしてもよい。また、確度と貢献度による補正は、確度が低いデータ項目について貢献度が高い場合にはバラツキを大きく、確度が高いデータ項目について貢献度が低い場合にはバラツキを小さく見積もる。 Step 509 is a process for calculating and correcting the variance of the KPI evaluation index. The variation of the KPI evaluation index is calculated from the work report data for the worker, and the accuracy calculated in step 506 and the accuracy shown in FIG. The variation is corrected based on the contribution calculated in step 404. Here, the term “variation” means that when there is a certain amount of work report data, the dispersion of KPI evaluation indices may be varied, or the dispersion of KPI evaluation indices among all workers and all work report data may be varied. Good. In addition, the correction based on the accuracy and the degree of contribution estimates a large variation when the contribution degree is high for a data item with low accuracy, and estimates the variation small when the contribution degree is low for a data item with high accuracy.
　ステップ５１０は、ＫＰＩ評価指標が一定値以上となる確率を算出する処理であり、ＫＰＩ評価指標を平均値とし、バラツキを分散とする正規分布を分布とする場合に、事前に規定されたＫＰＩ評価指標値以上となる確率を算出し、それを当該作業員の評価値とする。ここで、本ステップでの評価方法は正規分布を前提としたが、ＫＰＩ評価指標が一定値以上となる可能性が高い作業員を高く評価し、ＫＰＩ評価指標が一定値以上となる可能性が低い作業員を低く評価出来る方法であれば何れの方法でもよく、平均の高低のみで評価してもよいし、確度と貢献度のみで評価してもよい。 Step 510 is a process of calculating the probability that the KPI evaluation index is a certain value or more. When the KPI evaluation index is an average value and the distribution is a normal distribution in which variation is distributed, the KPI evaluation defined in advance is performed. The probability of being equal to or higher than the index value is calculated and used as the evaluation value for the worker. Here, although the evaluation method in this step is based on a normal distribution, there is a possibility that a worker who is highly likely to have a KPI evaluation index of a certain value or higher is highly evaluated, and the KPI evaluation index may be a certain value or more. Any method may be used as long as a low worker can be evaluated low, and evaluation may be performed based only on the average level, or may be performed based on only accuracy and contribution.
　ここで、データが入力されている（欠損ではない）データ項目は全て正しい入力がなされていると仮定したが、当該データ項目の統計情報から異常値を抽出し、異常値とされたデータについては欠損データとして扱うこととしてもよい。異常値の抽出方法としては、該当データ項目の全入力に対する平均と分散を算出し、平均から、分散に一定値を掛けた値以上、例えば３倍以上離れているデータを異常値としてもよいし、事前に規定された最大値、又は最小値で規定される値域から外れるデータを異常値としてもよく、通常の入力データの範囲から外れるデータを異常値として扱う方法であれば何れの方法でもよい。 Here, it is assumed that all data items for which data has been input (not missing) are correctly input. However, outliers are extracted from the statistical information of the data items. It may be handled as missing data. As an abnormal value extraction method, an average and variance for all inputs of the corresponding data item are calculated, and data that is more than a value obtained by multiplying the variance by a certain value, for example, three times or more, may be used as an abnormal value. Data that falls outside the range defined by the maximum value or the minimum value specified in advance may be regarded as an abnormal value, and any method may be used as long as data that falls outside the normal input data range is handled as an abnormal value. .
　図１０は、作業員毎の評価値算出結果を示すテーブルであり、作業員による正しい日次進捗の数に応じて作業員の評価を決定した結果である。 FIG. 10 is a table showing an evaluation value calculation result for each worker, and is a result of determining the worker's evaluation according to the number of correct daily progress by the worker.
　列１００１は作業員の「所属」、列１００２は「報告者」に関する記述である。 Column 1001 describes a worker's “affiliation” and column 1002 describes a “reporter”.
　列１００３は、前記作業員による「日次進捗報告数」であり、作業員情報ＤＢ２１１に蓄積された作業報告から、作業完了から有る程度の期間が経過してから纏めて報告したと推定されるものを報告時刻から取り除き、「日次進捗報告数」とする。列１００４は「ＫＰＩ評価平均」に関する記述であり、日次進捗報告数からステップ５０８で示したＫＰＩ評価指標を算出した結果である。列１００５は図５のステップ５０６で示した「確度」であり、日次進捗の欠損の少なさから算出する。列１００６は、確度から算出される「尤度」（尤もらしさを表す数値）である。これにより、「ＫＰＩ評価平均」の高さと「尤度」の小ささから作業員を評価する。 A column 1003 is the “number of daily progress reports” by the worker, and it is estimated from the work reports accumulated in the worker information DB 211 that the reports have been collectively made after a certain period of time has elapsed since the completion of the work. The thing is removed from the report time, and it is set as “the number of daily progress reports”. A column 1004 describes the “KPI evaluation average”, and is a result of calculating the KPI evaluation index shown in step 508 from the number of daily progress reports. A column 1005 is “accuracy” shown in step 506 in FIG. 5 and is calculated from the lack of daily progress loss. A column 1006 is “likelihood” (a numerical value representing likelihood) calculated from the accuracy. Thereby, the worker is evaluated from the height of the “KPI evaluation average” and the smallness of the “likelihood”.
　図６は組織評価を示す処理フロー図であり、作業員評価２１２に基づいた、ステップ３０３でのソフトウェア動作の詳細である。図５で示した作業員評価方法のまた別の方法として、一定量以上の作業員のグループである組織を評価する方法である。 FIG. 6 is a process flow diagram showing the organization evaluation, and shows the details of the software operation in step 303 based on the worker evaluation 212. Another method of the worker evaluation method shown in FIG. 5 is a method of evaluating an organization that is a group of workers of a certain amount or more.
　全ての評価対象組織について（ステップ６０１）、ステップ６０２は、当該組織に属するすべての作業員を前記図５で示した作業員評価方法で評価する。 For all evaluation target organizations (step 601), step 602 evaluates all workers belonging to the organization by the worker evaluation method shown in FIG.
　次ぎに、ステップ６０３は作業員評価の平均値と分散を算出する処理であり、当該組織に属する作業員について、ＫＰＩ評価指標の平均値と分散を算出する。 Next, step 603 is processing for calculating the average value and variance of the worker evaluation, and calculates the average value and variance of the KPI evaluation index for the workers belonging to the organization.
　ステップ６０４は、一定値以上の評価値分布が大きい組織を選定する処理であり、前記ＫＰＩ評価指標の平均値と分散の基で作業員が正規分布に従っているという前提で、事前に規定されたＫＰＩ評価指標値以上の作業員が選定される確率の高い組織を選定する。ここで、事前に規定された閾値となるＫＰＩ評価指標値が存在することを前提としたが、一定数の組織を選定する場合に確率の高さでランキング付けをして組織を選定してもよい。 Step 604 is a process of selecting a tissue having a large evaluation value distribution equal to or greater than a predetermined value, and is based on the premise that the worker follows a normal distribution based on the average value and variance of the KPI evaluation index. Select an organization with a high probability of selecting workers with an evaluation index value or higher. Here, it is assumed that there is a KPI evaluation index value that is a threshold defined in advance. However, when selecting a certain number of organizations, ranking may be performed with high probability to select the organization. Good.
　図７はフィールド作業報告を示す処理フロー図であり、作業員が、フィールドでの作業時にフィールド端末１０５から、作業報告２０２及び項目追加２０３を含む作業結果を作業履歴として報告する処理フローである。 FIG. 7 is a process flow diagram showing a field work report, in which a worker reports a work result including a work report 202 and an item addition 203 as a work history from the field terminal 105 when working in the field.
　まず、ステップ７０１はフィールド作業報告を入力する処理であり、通常のフィールド作業において求められる作業報告をフィールド端末１０５の入出力装置１１６より入力する。作業報告は定型的に報告すべきデータ項目が事前に決められており、業務指示２０８、新規業務定義２１０によって定義されている。 First, step 701 is a process of inputting a field work report, and a work report required in normal field work is inputted from the input / output device 116 of the field terminal 105. In the work report, data items to be regularly reported are determined in advance, and are defined by a work instruction 208 and a new work definition 210.
　もし、作業報告とは別に追加的に報告する項目がある場合（ステップ７０２）、項目追加２０３にて入力するデータ項目を追加し、作業報告と共に追加情報として報告する。その際、ステップ７０３にて、追加項目の一覧を表示し、同じフィールド作業において別の作業員が追加したデータ項目の一覧を閲覧する。 If there is an item to be additionally reported separately from the work report (step 702), the data item to be input is added in the item addition 203 and reported as additional information together with the work report. At this time, in step 703, a list of additional items is displayed, and a list of data items added by another worker in the same field work is browsed.
　もし、入力に適したデータ項目が一覧に存在しない場合（ステップ７０４）、ステップ７０５は入力するデータ項目の名称を入力し、新たなデータ項目を作成する。 If there is no data item suitable for input in the list (step 704), step 705 inputs the name of the data item to be input and creates a new data item.
　次ぎに、ステップ７０６は入力するデータ項目名称を選択し、ステップ７０７は報告内容をデータ項目に対してデータを入力する。 Next, in step 706, the name of the data item to be input is selected, and in step 707, the report content is input to the data item.
　最後に、ステップ７０８にて、事前に規定された報告内容と、追加として報告する内容とを業務実績管理サーバ１０１に対して送信し、当該フィールド作業の作業報告とする。 Finally, in step 708, the report contents specified in advance and the contents to be reported as additions are transmitted to the business performance management server 101 to obtain work reports of the field work.
　図８は、図７で示したフィールド作業報告における、作業報告２０２の内容を示すテーブルであり、作業員がフィールド端末１０５の入出力装置１１６から入力し、作業報告２０２から業務実績管理サーバ１０１の報告受付２０６へと報告され、作業員情報ＤＢ２１１に蓄積される情報の例である。 FIG. 8 is a table showing the contents of the work report 202 in the field work report shown in FIG. 7. The worker inputs from the input / output device 116 of the field terminal 105, and the work report 202 It is an example of information reported to the report reception 206 and accumulated in the worker information DB 211.
　図８の作業報告２０２は、配電設備の劣化や故障などを点検、保守するフィールド作業に関する報告内容を示し、列８０１は点検や保守作業の「報告者」、列８０２は報告が送信された「報告時刻」、列８０３は保守対象となる「設備Ｎｏ」、列８０４は「設備種別」である。また、列８０５は保守対象の設備が設置された「場所」であり、列８０６は保守対象設備の劣化状況や故障状況を示す「不良内容」であり、列８０７は不良内容の「不良レベル」である。列８０１から列８０７までは、配電設備の点検・保守作業において、劣化や故障のある設備を報告する通常の作業報告である。 The work report 202 of FIG. 8 shows the report contents regarding the field work for checking and maintaining the deterioration and failure of the distribution equipment, the column 801 is the “reporter” of the check and maintenance work, and the column 802 is the “ "Report time", column 803 is "equipment No" to be maintained, and column 804 is "equipment type". In addition, column 805 is a “location” where the maintenance target facility is installed, column 806 is a “defect content” indicating the deterioration status or failure status of the maintenance target facility, and column 807 is a “defect level” of the failure content. It is. Columns 801 to 807 are normal work reports for reporting facilities with deterioration or failure in inspection / maintenance work for distribution facilities.
　列８０８は、業務指示２０８、及び業務指示転送２０４から業務指示取得２０１にて取得した、保守対象設備の情報と、実際に設置されている設備との違いを追加的に報告する「備考（１）設備ズレ」である。また、列８０９は、次回以降の点検・保守作業時に注意を促すため、保守対象設備の劣化や故障以外の設備に関する監視項目を報告する「備考（２）要監視項目」である。また、列８１０は、配電設備に隣接し干渉する可能性のある建築物などを報告する「備考（３）建築物」である。列８０８から列８１０は、配電設備の点検・保守作業における通常の作業報告とは異なり、作業員自身が項目追加２０３と、図７のステップ７０５で示した処理フローにより、項目を追加して入力する追加項目である。 A column 808 additionally reports the difference between the information on the maintenance target equipment acquired by the business instruction acquisition 201 from the business instruction 208 and the business instruction transfer 204 and the actually installed equipment “Remarks (1 ) Equipment misalignment ". A column 809 is “Remarks (2) Monitored items” that reports monitoring items related to facilities other than the deterioration or failure of the maintenance target facility in order to call attention at the next inspection and maintenance work. The column 810 is “Remarks (3) Building” that reports a building that is adjacent to the power distribution facility and may interfere with the distribution facility. Columns 808 to 810 are different from the normal work report in the inspection / maintenance work of the power distribution equipment, and the worker himself adds items by the item addition 203 and the processing flow shown in step 705 in FIG. This is an additional item.
　行８１２は、作業員「日立太郎」により、「２０１１年５月３０日１７：１０」に報告された作業報告であり、設備Ｎｏ．「１０１１」の「ＡＡ製変圧器」に「側面破断」の不良が存在し、「要工事」の不良レベルであることが報告されている。また、「備考（３）建築物」として、保守対象設備の周辺に「高層建築建設中」であることが追加的に報告されている。 Line 812 is a work report reported to the worker “Taro Hitachi” on May 30, 2011 at 17:10. It has been reported that “AA-made transformer” of “1011” has a defect of “side break” and is at the “work required” defect level. In addition, “Remarks (3) Buildings” are additionally reported to be “under construction of high-rise buildings” around the equipment to be maintained.
１０１：業務実績管理サーバ、１０２：通信路、１０３：ＧＷ、１０４：業務依託管理サーバ、１０６：業務計画管理サーバ、１０５：フィールド端末、１１０，１１２，１１９，１２６：ＣＰＵ、１１１，１１４，１２０，１２７：主記憶、１０７，１０８，１０９，１２３：通信装置、１１５，１１６，１１８，１２５：入出力装置、１１４，１１７，１２１：２次記憶 101: business performance management server, 102: communication path, 103: GW, 104: business commission management server, 106: business plan management server, 105: field terminal, 110, 112, 119, 126: CPU, 111, 114, 120 127: Main memory 107, 108, 109, 123: Communication device 115, 116, 118, 125: I / O device 114, 117, 121: Secondary storage

Claims (10)

  1. 　計算機を用いた、業務の作業員割り当て方法であって、
    　指示する業務の効果算出方法を保持し、
    　前記作業員のそれぞれのこれまで業務での報告内容を含む業務履歴データを保持し、
    　前記業務効果算出方法と前記報告内容から、前記作業員が前記業務に従事した際の効果を算出し、
    　前記算出された効果の大きさに基づいて、業務を指示する作業員を選定する、
    ことを特徴とする業務の作業員割り当て方法。     A method for assigning work workers using a computer,
    Holds the method for calculating the effect of the work to be instructed,
    Each of the workers holds work history data including report contents in the work so far,
    From the work effect calculation method and the report content, calculate the effect when the worker engaged in the work,
    Based on the magnitude of the calculated effect, select a worker who instructs the work,
    This is a method for assigning workers for business.
  2. 　前記作業員割り当て方法において、
    　新規業務を評価するための業務指標の定義として記述された、前記業務履歴データの項目を組み合わせた定義式、及び前記業務履歴データの項目を組み合わせて算出された業務指標見込み値の算出方法の少なくとも一方を取得し、
    　前記業務履歴データにおいて前記業務指標の定義式、及び前記業務指標見込み値の算出方法のいずれかで利用された項目を抽出し、
    　前記業務指標の定義式、及び前記業務指標見込み値の算出方法のいずれかで利用された項目の前記業務指標、及び前記業務指標見込み値の貢献度のいずれかを評価し、
    　前記抽出された業務履歴データの項目について、入力の有無と入力の正確性を評価し、
    前記入力の有無と正確性の評価結果と前記業務指標への貢献度に基づいて各データを入力した作業員を評価し、
    　前記作業員の評価に基づいて新規業務に割り当てる作業員を選定する、
    ことを特徴とする請求項１に記載の業務の作業員割り当て方法。     In the worker assignment method,
    At least a definition formula that combines the items of the business history data described as a definition of a business index for evaluating a new business, and a method for calculating the expected value of the business index calculated by combining the items of the business history data Get one
    In the business history data, extract the items used in either the definition formula of the business index and the calculation method of the business index expected value,
    Evaluate one of the contribution index of the business index and the business index expected value of the item used in either the definition formula of the business index and the calculation method of the business index expected value,
    For the items of the extracted work history data, the presence or absence of input and the accuracy of input are evaluated,
    Evaluate the worker who entered each data based on the presence / absence and accuracy of the input and the degree of contribution to the work index,
    Selecting a worker to be assigned to a new job based on the worker's evaluation;
    The business worker assignment method according to claim 1, wherein:
  3. 　前記作業員割り当て方法において、
    　前記業務指標の定義式で利用されたデータ項目と前記データ項目の貢献度を取得する際に、
    　前記業務履歴データ内に記載されたデータ項目の中から前記業務指標の定義に利用されたデータ項目を少なくとも1つ以上取得し、
    　前記選定されたデータ項目を組み合わせて記述された定義式を取得し、
    　前記定義式において前記利用されたデータ項目を変動させることで前記業務指標がどの程度変動するかを貢献度とする、
    ことを特徴とする請求項１及び２のいずれかに記載の業務の作業員割り当て方法。     In the worker assignment method,
    When acquiring the contribution of the data item and the data item used in the definition formula of the business index,
    Acquire at least one data item used to define the business index from the data items described in the business history data,
    Obtain a definition formula described by combining the selected data items,
    The degree of contribution is how much the business index changes by changing the data item used in the definition formula,
    The work worker assignment method according to claim 1, wherein the worker is assigned to the work.
  4. 　前記作業員割り当て方法において、
    　前記作業員を評価する際に、
    　前記業務履歴データの項目について入力の有無を取得し、
    　前記入力有りとされたデータ項目について、入力内容の傾向から外れ値を選定し、前記外れ値については入力無しと見なし、
    　前記入力有りとされたデータ項目を入力した作業員について、前記データ項目の入力数の多さと前記データ項目の前記業務指標への貢献度高さから作業員を評価する、
    ことを特徴とする請求項１及び２のいずれかに記載の業務の作業員割り当て方法。     In the worker assignment method,
    When evaluating the worker,
    Obtain the presence or absence of input for the item of business history data,
    For the data item with the input, select an outlier from the tendency of the input content, the outlier is regarded as no input,
    For a worker who has input the data item that has been input, the worker is evaluated based on the number of inputs of the data item and the degree of contribution of the data item to the work index.
    The work worker assignment method according to claim 1, wherein the worker is assigned to the work.
  5. 　前記作業員割り当て方法において、
    　前記新規業務に割り当てる作業員を選定する際に、
    　前記作業員の評価結果から、特定組織に属する作業員の平均評価と評価の分散を算出し、
    複数の組織毎に前記平均評価と前記評価の分散を比較し、
    　前記平均評価の高さと前記評価の分散の小ささに基づいて、作業を割り当てる作業員が属する組織を決定し、
    　前記決定した組織の属する作業員の中で、前記評価結果が高く作業割当が可能な作業員へと前記新規業務を割り当てる、
    ことを特徴とする請求項１及び２のいずれかに記載の業務の作業員割り当て方法。     In the worker assignment method,
    When selecting workers to be assigned to the new work,
    From the evaluation results of the workers, calculate the average evaluation of workers belonging to a specific organization and the variance of the evaluation,
    Compare the average evaluation and the variance of the evaluation for each of a plurality of organizations,
    Based on the height of the average evaluation and the small variance of the evaluation, determine the organization to which the worker to assign work belongs,
    Of the workers belonging to the determined organization, the new work is assigned to a worker who has a high evaluation result and is capable of work assignment.
    The work worker assignment method according to claim 1, wherein the worker is assigned to the work.
  6. 　前記作業員割り当て方法において、
    　保守業務の実施時に作業量が複数組織間で平準化するように作業員の融通を行う場合に、前記組織間での作業従事率の差を業務指標として、前記業務履歴データにおける作業員からの報告時刻と作業項目残件に基づいて、作業従事率を算出し、
    　前記報告時刻と前記作業項目残件が変動した場合の作業従事率の変動度合を貢献度とし、
    前記報告時刻の偏りに基づいて前記報告時刻の正しさを推測し、
    　前記報告時刻が正しいと推測されたデータについて入力した作業員毎に前記貢献度を累積して評価値とし、
    　前記評価値の平均値と分散を前記作業員の所属する組織毎に算出し、
    　前記組織毎の評価値の平均と分散に基づいて作業員の融通を導入する組織を決定する、
    ことを特徴とする請求項１及び２のいずれかに記載の業務の作業員割り当て方法。     In the worker assignment method,
    When carrying out maintenance so that the amount of work is equalized between multiple organizations when performing maintenance work, the difference in work engagement rate between the organizations is used as a work index, and Based on the report time and work item residuals, calculate the work engagement rate,
    The degree of change in the work engagement rate when the report time and the work item residue fluctuate,
    Inferring the correctness of the reporting time based on the bias of the reporting time,
    Accumulating the contribution for each worker who has entered the data estimated to be correct for the reporting time,
    Calculate the average value and variance of the evaluation values for each organization to which the worker belongs,
    Determine the organization to introduce worker flexibility based on the average and variance of the evaluation values for each organization,
    The work worker assignment method according to claim 1, wherein the worker is assigned to the work.
  7. 　前記作業員割り当て方法において、
    　機器の保守業務の実施時に、設置されている前記機器と設備構成情報に記録されている機器情報との齟齬を発見する業務を導入する場合に、前記齟齬の抽出による前記機器の制御の高精度化を業務指標として、前記業務履歴データにおける作業員が以前の業務で報告した前記齟齬の情報から、特定地域において前記齟齬を抽出した前後での前記機器の状態の差を貢献度とし、
    　過去に前記齟齬情報を入力した作業員毎に前記貢献度を累積して評価値とし、
    　前記評価値が高い作業員を選定する、
    ことを特徴とする請求項１及び２のいずれかに記載の業務の作業員割り当て方法。     In the worker assignment method,
    High accuracy of control of the device by extracting the flaw when introducing a flaw to find a flaw between the installed device and the device information recorded in the equipment configuration information when performing a device maintenance job As a business index, the difference in the state of the device before and after extracting the bag in a specific region from the information on the bag reported by the worker in the work history data in the previous job,
    Accumulate the contribution for each worker who has input the bag information in the past to obtain an evaluation value,
    Selecting a worker with a high evaluation value,
    The work worker assignment method according to claim 1, wherein the worker is assigned to the work.
  8. 　業務を作業員に指示する際に指示先となる作業員を選定して前記業務を割り当てるための第１の計算機と、
    　前記作業員のそれぞれのこれまで業務での報告内容を含む業務履歴データを管理する第２の計算機と、
    　顧客からの業務の依頼を受け付ける第３の計算機と、
    　前記作業員がフィールドでの作業時に操作、及び閲覧する、少なくとも１つの端末とが、通信路を介して互いに接続されたネットワークシステムにおいて、
    　前記第１の計算機は、
    　予め保持されている、指示する業務の効果算出方法と、前記第２の計算機から受け取った前記業務履歴データに含まれ、前記端末を介して入力された、前記作業員のそれぞれのこれまで業務での報告内容とに基づいて、前記第３の計算機から受け取った前記業務に前記作業員が従事した際の効果を算出する作業員評価手段と、
    　前記算出された効果の大きさに基づいて、業務を指示する作業員を選定する作業員選定手段と、を有することを特徴とするネットワークシステム。     A first computer for selecting a worker to be an instruction destination and instructing the worker to assign the task;
    A second computer for managing the work history data including the report contents of each of the workers so far;
    A third computer that accepts business requests from customers;
    In a network system in which at least one terminal that the worker operates and browses when working in a field is connected to each other via a communication path,
    The first calculator is:
    A method for calculating the effect of the work to be instructed in advance and the work history data received from the second computer and input through the terminal for each work of the worker so far Worker evaluation means for calculating an effect when the worker is engaged in the work received from the third computer, based on the report content of
    A network system comprising: worker selection means for selecting a worker instructing work based on the calculated magnitude of the effect.
  9. 　前記第１、第２及び第３の計算機の機能を１台の計算機で実現することを特徴とする請求項８記載のネットワークシステム。 9. The network system according to claim 8, wherein the functions of the first, second, and third computers are realized by a single computer.
  10. 　前記第１及び第２の計算機の機能を１台の計算機で実現することを特徴とする請求項８記載のネットワークシステム。 The network system according to claim 8, wherein the functions of the first and second computers are realized by a single computer.
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