CN111210108A - Performance management and control model of electric power material supply chain - Google Patents

Performance management and control model of electric power material supply chain Download PDF

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CN111210108A
CN111210108A CN201911317335.5A CN201911317335A CN111210108A CN 111210108 A CN111210108 A CN 111210108A CN 201911317335 A CN201911317335 A CN 201911317335A CN 111210108 A CN111210108 A CN 111210108A
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黄思平
詹勤辉
刘康军
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Shenzhen Power Supply Bureau Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

A performance control model of an electric power material supply chain comprises a performance acquisition unit, a performance analysis unit, a performance evaluation unit and a performance output unit. The performance management and control model is respectively connected with a basic data module, an intelligent monitoring module, a data platform module, an intelligent decision-making module, a production maintenance module, a quality supervision and management module and an auxiliary management module. The system has intuitive analysis functions of service tracking, monitoring, early warning and the like of the whole process information management and control node of the power material supply chain, and is favorable for comprehensively tracking and monitoring the whole power material supply chain. The performance indexes are not only analyzed afterwards, but also can be tracked in real time, and the performance is promoted in time. The chart display form is diversified, and the content analysis is comprehensive.

Description

Performance management and control model of electric power material supply chain
Technical Field
The invention relates to an electric power material supply chain, in particular to a performance control model of the electric power material supply chain.
Background
The management of electric power materials is a basic work, and involves the content of engineering construction, cost management, safe production and the like. The work of strengthening the electric power material, need constantly perfect the management system, raise the efficiency, reduce cost carries out effectual control to material purchase supply process, satisfies the engineering construction needs better, and the production and the operation management of better service enterprise pursue the harmony and the promptness of material supply, the rationality of inventory management, material quality and the goodness of material service.
A material supply management system is built based on historical conditions, and basic process management such as demand, purchase, performance, warehouse entry and exit is achieved. The following problems still remain: the tracking and monitoring mechanism of each link does not meet the requirements of an intelligent supply chain; and a corresponding dynamic monitoring model is not established, and the logic research of standard working time limit design, timely early warning and dynamic reminding of each link and data taking from an information system is not realized. To better meet the requirements of production and engineering material supply, it is far from enough to realize basic process management. With the continuous expansion of the scale of the power grid assets, enterprises put higher requirements on the fine management means and mechanism of process monitoring. By using corresponding professional innovative technical means, the monitoring level of the whole material supply process of the intelligent supply chain is improved, so that the efficient operation and dynamic monitoring of each flow of material supply management and the flow among nodes are realized. Has become an important task at present in the power grid.
The Chinese patent application publication No. CN104462579A discloses a job task management method of a big data management platform, which comprises the following specific steps of ① establishing a management system of the big data management platform, wherein the management system comprises a Web end unified online job task management module, a Server end application program scheduling and state maintenance module and an Agent end application program execution module, ② utilizing the Web end unified online job task management module, a user uploads an application program of a job task and inputs basic information of the application program, ③ enters the Server end application program scheduling and state maintenance module through a task API (application programming interface) interface to perform unified maintenance on a state maintenance command and send job task state notification information, ④ Agent end application program execution module executes the application program according to configuration submitted by the user and sets execution log output of the application program, and the job task management method realizes online submission of the application program, custom configuration of the execution information and state change notification information, can customize a task execution plan and has usability.
Chinese patent application publication No. CN103874992A discloses an integrated asset tracking, task manager and virtual container for data center management. It includes an input device 20, a data collector 25, an IMSGUI60, an event handler 50, an asset tracking data handler 40, a message service queue 35, a pre-processor 30, an asset coordination handler 65, an IMS database 55. It provides an integration of an Infrastructure Management Software (IMS) asset tracking system, an IMS Task Manager (ITM), and an IMS virtual container or virtual container feature that can alleviate problems such as personnel scheduling problems, lost asset problems, and service outages within a data center.
The current ERP system of the power company meets the requirement of conventional business processing, wherein the material management part comprises planning management, purchasing management, contract management, inventory management, supplier relationship management and the like, and provides a certain management support for a power material supply chain, but the following defects exist:
(1) the system lacks intuitive analysis functions such as service tracking, monitoring and early warning of the whole process information control node of the power material supply chain, and is not beneficial to the comprehensive tracking and monitoring of the whole power material supply chain.
(2) The performance index can only be analyzed afterwards, and can not be tracked in real time, so that the difficulty in timely promoting the performance is high.
(3) The chart has a single display form and incomplete content analysis.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a performance control model of an electric power material supply chain.
The technical scheme adopted by the invention for solving the technical problems is as follows: a performance control model of an electric power material supply chain comprises a performance acquisition unit, a performance analysis unit, a performance evaluation unit and a performance output unit.
The performance acquisition unit is used for tracking and paying attention to the whole process of the power material supply chain, and real-time monitoring is carried out on the progress and other data executed at each stage of the power material supply chain.
The performance analysis unit is used for carrying out data cleaning on the data of the power material supply chain, unifying the data format of the power material supply chain, deleting the repeated value of the power material supply chain, processing the data of the missing power material supply chain and checking the data correctness of the power material supply chain.
The performance evaluation unit comprises work task management, work plan release, work task assessment and work task statistics; the work task management comprises weekly work management, monthly work management and task management; the work plan management comprises an annual work plan, a quarterly work plan, a monthly work plan, a weekly work plan and a temporary plan; the work task assessment comprises leader evaluation, safety supervision evaluation, daily work evaluation, violation mistake evaluation and key index evaluation; the work task statistics comprise a monthly work task statistics table, a monthly work task evaluation table and a work task analysis chart.
The performance output unit is used for generating an animation chart, a report style, a pie chart, a curve graph, a bar chart, a meter panel or/and a honeycomb chart through a Fusion-Chars chart component, an operation control, a report type control, a statistical analysis type control and a layout type control; the technical means of the Fusion-Chars diagram component is utilized to reflect the plan management of the power material supply chain, the bid management of the power material supply chain, the contract signing of the power material supply chain, the contract performance of the power material supply chain and the performance progress of the contract settlement of the power material supply chain.
The performance management and control model is respectively connected with a basic data module, an intelligent monitoring module, a data platform module, an intelligent decision-making module, a production maintenance module, a quality supervision and management module and an auxiliary management module.
The invention also has the following additional technical features:
the technical scheme of the invention is further specifically optimized as follows: the performance evaluation unit also comprises a performance control evaluation index PSN, and the performance control evaluation index PSN is generated by calculation after weighting of each index of a basic data module evaluation index SDB, an intelligent monitoring module evaluation index RFC, a data platform module evaluation index YHB, an intelligent decision module evaluation index QWF, a production maintenance module evaluation index OKD, a quality supervision management module evaluation index NGX and an auxiliary management module evaluation index PLA; wherein, PSN ═ 0.15) + (RFC ·0.15) + (YHB ·0.22) + (QWF × 0.13) + (OKD × 0.11) + (NGX × 0.11) + (PLA × 0.13).
The technical scheme of the invention is further specifically optimized as follows: the basic data module comprises a quality safety unit, an arrival analysis unit, a storage analysis unit, a verification analysis unit, a delivery analysis unit and a comprehensive analysis unit; the basic data module is used for acquiring service data of a power material supply chain and on-site production, logistics and security video monitoring data; the method comprises the steps of collecting and summarizing the information data of the whole service process, the map, the inventory and the contract resource of the power material supply chain at regular time, and automatically collecting the data to a data platform module in an incremental or full mode through an Oracle task.
The technical scheme of the invention is further specifically optimized as follows: the intelligent monitoring module comprises an equipment monitoring unit, an operation monitoring unit and an electronic billboard unit; the intelligent monitoring module is used for visually displaying a monitoring picture for visually displaying the control indexes, the manufacturing real-time data, the video signals, the GPS and the 3D of the power material supply chain data through the large screen management system, and automatically acquiring the data to the data platform module for production scheduling personnel to make reasonable analysis, judgment and operation.
The technical scheme of the invention is further specifically optimized as follows: the data platform module comprises a data cleaning unit, a data analysis operation unit and a classification uploading unit; the data platform module is used for classifying, processing and storing the service data and the video data of the basic data module, cleaning the service data and the video data, and performing data analysis operations of unifying data formats, deleting repeated values, processing missing data and checking data accuracy; and the classification is uploaded to an intelligent decision module.
The technical scheme of the invention is further specifically optimized as follows: the intelligent decision module comprises an automatic verification management unit, an intelligent warehouse management unit, a delivery supervision unit, an operation scheduling unit and an asset identification unit; the intelligent decision module is used for classifying, processing, analyzing and calculating data of equipment operation indexes, energy environmental protection indexes and logistics indexes in the power material supply chain, providing a preset control strategy and obtaining a conclusion based on accurate statistical data analysis; setting an early warning threshold value for a key node for power material supply, carrying out corresponding processing through different business logics, actively sending a prompt to a user for the analyzed data of a business processing node close to the threshold value, and generating a corresponding chart in a large-screen management system through a Fusion-Chars chart component; and data support is provided for operation prediction, risk assessment and supply chain collaborative decision activities of users, and the accuracy and efficiency of decisions are improved.
The technical scheme of the invention is further specifically optimized as follows: the production maintenance module comprises a maintenance management unit and a spare part management unit; the quality supervision and management module comprises a promotion analysis unit, a sampling inspection supervision unit and a fault statistics unit; the auxiliary management module comprises a security management unit, a material management unit, a logistics management unit and an intranet website unit.
Compared with the prior art, the invention has the advantages that:
advantage (1): according to the performance control model provided by the invention, the performance acquisition unit is used for tracking and paying attention to the whole process of the power material supply chain and monitoring the progress and other data executed at each stage of the power material supply chain in real time.
Advantage (2): according to the performance control model provided by the invention, the performance analysis unit is used for carrying out data cleaning on the data of the power material supply chain, unifying the data format of the power material supply chain, deleting the repeated value of the power material supply chain, processing the data missing the power material supply chain and checking the data correctness of the power material supply chain.
Advantage (3): according to the performance management and control model provided by the invention, a performance evaluation unit comprises work task management, work plan release, work task assessment and work task statistics; the work task management comprises weekly work management, monthly work management and task management; the work plan management comprises an annual work plan, a quarterly work plan, a monthly work plan, a weekly work plan and a temporary plan; the work task assessment comprises leader evaluation, safety supervision evaluation, daily work evaluation, violation mistake evaluation and key index evaluation; the work task statistics comprise a monthly work task statistics table, a monthly work task evaluation table and a work task analysis chart.
Advantage (4): according to the performance control model provided by the invention, the performance output unit is used for generating an animation chart, a report style, a pie chart, a curve graph, a bar chart, a gauge panel or/and a honeycomb chart through a Fusion-Chars chart component, an operation control, a report type control, a statistical analysis type control and a layout type control; the technical means of the Fusion-Chars diagram component is utilized to reflect the plan management of the power material supply chain, the bid management of the power material supply chain, the contract signing of the power material supply chain, the contract performance of the power material supply chain and the performance progress of the contract settlement of the power material supply chain.
Advantage (5): the performance management and control model is respectively connected with a basic data module, an intelligent monitoring module, a data platform module, an intelligent decision-making module, a production maintenance module, a quality supervision and management module and an auxiliary management module. The system has intuitive analysis functions of service tracking, monitoring, early warning and the like of the whole process information management and control node of the power material supply chain, and is favorable for comprehensively tracking and monitoring the whole power material supply chain. The performance indexes are not only analyzed afterwards, but also can be tracked in real time, and the performance is promoted in time. The chart display form is diversified, and the content analysis is comprehensive.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a performance management and control model of an electric power material supply chain according to the present invention;
fig. 2 is a schematic structural diagram of a performance control model of the power material supply chain according to the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings, in order that the present disclosure may be more fully understood and fully conveyed to those skilled in the art. While the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the invention is not limited to the embodiments set forth herein.
A performance control model of an electric power material supply chain is shown in figure 1 and comprises a performance acquisition unit, a performance analysis unit, a performance evaluation unit and a performance output unit.
The performance acquisition unit is used for tracking and paying attention to the whole process of the power material supply chain, and real-time monitoring is carried out on the progress and other data executed at each stage of the power material supply chain.
The performance analysis unit is used for carrying out data cleaning on the data of the power material supply chain, unifying the data format of the power material supply chain, deleting the repeated value of the power material supply chain, processing the data of the missing power material supply chain and checking the data correctness of the power material supply chain.
The performance evaluation unit comprises work task management, work plan release, work task assessment and work task statistics. The work task management comprises weekly work management, monthly work management and task management. The work plan management comprises an annual work plan, a quarterly work plan, a monthly work plan, a weekly work plan and a temporary plan. The work task assessment comprises leader evaluation, safety supervision evaluation, daily work evaluation, violation mistake evaluation and key index evaluation. The work task statistics comprise a monthly work task statistics table, a monthly work task evaluation table and a work task analysis chart.
The performance output unit is used for generating an animation chart, a report style, a pie chart, a curve chart, a column chart, a bar chart, a dashboard or/and a honeycomb chart through the Fusion-Chars chart component and the operation control, the report type control, the statistical analysis type control and the layout type control. The technical means of the Fusion-Chars diagram component is utilized to reflect the plan management of the power material supply chain, the bid management of the power material supply chain, the contract signing of the power material supply chain, the contract performance of the power material supply chain and the performance progress of the contract settlement of the power material supply chain.
As shown in fig. 1, the performance management and control model is respectively connected with a basic data module, an intelligent monitoring module, a data platform module, an intelligent decision module, a production maintenance module, a quality supervision and management module and an auxiliary management module.
The performance evaluation unit also comprises a performance control evaluation index PSN, and the performance control evaluation index PSN is generated by calculation after weighting of each index of a basic data module evaluation index SDB, an intelligent monitoring module evaluation index RFC, a data platform module evaluation index YHB, an intelligent decision module evaluation index QWF, a production maintenance module evaluation index OKD, a quality supervision management module evaluation index NGX and an auxiliary management module evaluation index PLA.
Wherein, PSN ═ 0.15) + (RFC ·0.15) + (YHB ·0.22) + (QWF × 0.13) + (OKD × 0.11) + (NGX × 0.11) + (PLA × 0.13).
The basic data module comprises a quality safety unit, a goods arrival analysis unit, a storage analysis unit, a verification analysis unit, a delivery analysis unit and a comprehensive analysis unit. The basic data module is used for collecting service data of the power material supply chain and on-site production, logistics and security video monitoring data. The method comprises the steps of collecting and summarizing the information data of the whole service process, the map, the inventory and the contract resource of the power material supply chain at regular time, and automatically collecting the data to a data platform module in an incremental or full mode through an Oracle task.
The intelligent monitoring module comprises an equipment monitoring unit, an operation monitoring unit and an electronic billboard unit. The intelligent monitoring module is used for visually displaying a monitoring picture for visually displaying the control indexes, the manufacturing real-time data, the video signals, the GPS and the 3D of the power material supply chain data through the large screen management system, and automatically acquiring the data to the data platform module for production scheduling personnel to make reasonable analysis, judgment and operation.
The data platform module comprises a data cleaning unit, a data analysis operation unit and a classification uploading unit. The data platform module is used for classifying, processing and storing the service data and the video data of the basic data module, cleaning the service data and the video data, and performing data analysis operations of unifying data formats, deleting repeated values, processing missing data and checking data accuracy. And the classification is uploaded to an intelligent decision module.
The intelligent decision module comprises an automatic verification management unit, an intelligent warehouse management unit, a delivery supervision unit, an operation scheduling unit and an asset identification unit. The intelligent decision module is used for classifying, processing, analyzing and calculating data of equipment operation indexes, energy environmental protection indexes and logistics indexes in the power material supply chain, providing a preset control strategy and obtaining a conclusion based on accurate statistical data analysis. The early warning threshold value is set for the key node of power material supply, corresponding processing is carried out through different business logics, analyzed data are actively sent to a user to be reminded for the business processing node close to the threshold value, and meanwhile, a corresponding chart is generated in a large-screen management system through a Fusion-Chars chart component. And data support is provided for operation prediction, risk assessment and supply chain collaborative decision activities of users, and the accuracy and efficiency of decisions are improved.
The production maintenance module comprises a maintenance management unit and a spare part management unit. The quality supervision and management module comprises a promotion analysis unit, a sampling inspection supervision unit and a fault statistics unit. The auxiliary management module comprises a security management unit, a material management unit, a logistics management unit and an intranet website unit.
Although the embodiments have been described, once the basic inventive concept is obtained, other variations and modifications of these embodiments can be made by those skilled in the art, so that the above embodiments are only examples of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes using the contents of the present specification and drawings, or any other related technical fields, which are directly or indirectly applied thereto, are included in the scope of the present invention.

Claims (7)

1. A performance control model of an electric power material supply chain is characterized by comprising a performance acquisition unit, a performance analysis unit, a performance evaluation unit and a performance output unit;
the performance acquisition unit is used for tracking and paying attention to the whole process of the power material supply chain and monitoring the progress and other data executed at each stage of the power material supply chain in real time;
the performance analysis unit is used for carrying out data cleaning on the data of the power material supply chain, unifying the data format of the power material supply chain, deleting the repeated value of the power material supply chain, processing the data of the missing power material supply chain and checking the data correctness of the power material supply chain;
the performance evaluation unit comprises work task management, work plan release, work task assessment and work task statistics; the work task management comprises weekly work management, monthly work management and task management; the work plan management comprises an annual work plan, a quarterly work plan, a monthly work plan, a weekly work plan and a temporary plan; the work task assessment comprises leader evaluation, safety supervision evaluation, daily work evaluation, violation mistake evaluation and key index evaluation; the work task statistics comprise a monthly work task statistics table, a monthly work task evaluation table and a work task analysis chart;
the performance output unit is used for generating an animation chart, a report style, a pie chart, a curve graph, a bar chart, a meter panel or/and a honeycomb chart through a Fusion-Chars chart component, an operation control, a report type control, a statistical analysis type control and a layout type control; reflecting the planning management of the power material supply chain, the bidding management of the power material supply chain, the contract signing of the power material supply chain, the contract performance of the power material supply chain and the performance progress of the contract settlement of the power material supply chain by using the technical means of a Fusion-Chars diagram component;
the performance management and control model is respectively connected with a basic data module, an intelligent monitoring module, a data platform module, an intelligent decision-making module, a production maintenance module, a quality supervision and management module and an auxiliary management module.
2. The performance management and control model of the electric power material supply chain of claim 1, wherein: the performance evaluation unit also comprises a performance control evaluation index PSN, and the performance control evaluation index PSN is generated by calculation after weighting of each index of a basic data module evaluation index SDB, an intelligent monitoring module evaluation index RFC, a data platform module evaluation index YHB, an intelligent decision module evaluation index QWF, a production maintenance module evaluation index OKD, a quality supervision management module evaluation index NGX and an auxiliary management module evaluation index PLA;
wherein, PSN ═ 0.15) + (RFC ·0.15) + (YHB ·0.22) + (QWF × 0.13) + (OKD × 0.11) + (NGX × 0.11) + (PLA × 0.13).
3. The performance management and control model of the electric power material supply chain of claim 1, wherein: the basic data module comprises a quality safety unit, an arrival analysis unit, a storage analysis unit, a verification analysis unit, a delivery analysis unit and a comprehensive analysis unit; the basic data module is used for acquiring service data of a power material supply chain and on-site production, logistics and security video monitoring data; the method comprises the steps of collecting and summarizing the information data of the whole service process, the map, the inventory and the contract resource of the power material supply chain at regular time, and automatically collecting the data to a data platform module in an incremental or full mode through an Oracle task.
4. The performance management and control model of the electric power material supply chain of claim 1, wherein: the intelligent monitoring module comprises an equipment monitoring unit, an operation monitoring unit and an electronic billboard unit; the intelligent monitoring module is used for visually displaying a monitoring picture for visually displaying the control indexes, the manufacturing real-time data, the video signals, the GPS and the 3D of the power material supply chain data through the large screen management system, and automatically acquiring the data to the data platform module for production scheduling personnel to make reasonable analysis, judgment and operation.
5. The performance management and control model of the electric power material supply chain of claim 1, wherein: the data platform module comprises a data cleaning unit, a data analysis operation unit and a classification uploading unit; the data platform module is used for classifying, processing and storing the service data and the video data of the basic data module, cleaning the service data and the video data, and performing data analysis operations of unifying data formats, deleting repeated values, processing missing data and checking data accuracy; and the classification is uploaded to an intelligent decision module.
6. The performance management and control model of the electric power material supply chain of claim 1, wherein: the intelligent decision module comprises an automatic verification management unit, an intelligent warehouse management unit, a delivery supervision unit, an operation scheduling unit and an asset identification unit; the intelligent decision module is used for classifying, processing, analyzing and calculating data of equipment operation indexes, energy environmental protection indexes and logistics indexes in the power material supply chain, providing a preset control strategy and obtaining a conclusion based on accurate statistical data analysis; setting an early warning threshold value for a key node for power material supply, carrying out corresponding processing through different business logics, actively sending a prompt to a user for the analyzed data of a business processing node close to the threshold value, and generating a corresponding chart in a large-screen management system through a Fusion-Chars chart component; and data support is provided for operation prediction, risk assessment and supply chain collaborative decision activities of users, and the accuracy and efficiency of decisions are improved.
7. The performance management and control model of the electric power material supply chain of claim 1, wherein: the production maintenance module comprises a maintenance management unit and a spare part management unit; the quality supervision and management module comprises a promotion analysis unit, a sampling inspection supervision unit and a fault statistics unit; the auxiliary management module comprises a security management unit, a material management unit, a logistics management unit and an intranet website unit.
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CN112132399A (en) * 2020-08-28 2020-12-25 成都飞机工业(集团)有限责任公司 Ecological multidimensional image visualization system of aviation product supply chain
CN112836930A (en) * 2020-12-31 2021-05-25 佛山欧神诺云商科技有限公司 Performance assessment system refined layer by layer from top to bottom
CN113240229A (en) * 2021-03-29 2021-08-10 中信银行股份有限公司 Intelligent decision making system and method based on user portrait data
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