CN111507548B - Method and system for carrying out regional difference correction on logistics service evaluation - Google Patents
Method and system for carrying out regional difference correction on logistics service evaluation Download PDFInfo
- Publication number
- CN111507548B CN111507548B CN201910091946.6A CN201910091946A CN111507548B CN 111507548 B CN111507548 B CN 111507548B CN 201910091946 A CN201910091946 A CN 201910091946A CN 111507548 B CN111507548 B CN 111507548B
- Authority
- CN
- China
- Prior art keywords
- logistics
- regional
- index
- service
- difference correction
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 88
- 238000012937 correction Methods 0.000 title claims abstract description 85
- 238000000034 method Methods 0.000 title claims abstract description 80
- 239000011159 matrix material Substances 0.000 claims description 23
- 238000005265 energy consumption Methods 0.000 claims description 14
- 238000004519 manufacturing process Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 abstract description 6
- 239000000523 sample Substances 0.000 description 10
- 238000004590 computer program Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 5
- 230000018109 developmental process Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000011835 investigation Methods 0.000 description 3
- 230000001788 irregular Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 239000011324 bead Substances 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 239000012466 permeate Substances 0.000 description 1
- 239000013074 reference sample Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001550 time effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a method and a system for carrying out regional difference correction on logistics service evaluation, wherein the method comprises the following steps: determining service evaluation indexes of logistics enterprises on affiliated staff; obtaining regional difference correction coefficients of service evaluation of logistics enterprises on staff belonging to different regions by adopting a TOPSIS method; and correcting the service evaluation by using the regional difference correction coefficient. According to the embodiment of the application, the TOPSIS method is adopted to process the index which is affected by the regional difference, so that the regional universality of the logistics employee service evaluation index is obtained, and the evaluation system is fairer.
Description
Technical Field
The present disclosure relates generally to service valuation systems, and more particularly to a method and system for performing regional difference correction on logistic service valuations.
Background
In the service industry, the service enterprises generally obtain indexes of skill literacy such as daily operation of service staff, customer evaluation and the like and value contribution indexes qualitatively and quantitatively converted through information acquisition according to the time effect achievement condition of the service staff during working and the service evaluation result of the customer on the service staff. For large service enterprises which are cross-regional or nationwide, for example, logistics enterprises in which service sites are nationwide, regional differences exist in factors such as infrastructure, resources, traffic and difficulty level of different regions in the service process of staff, and the original data of the dimensions have no additivity and comparability. However, at present, no reasonable and general method is available for solving the problem of unfairness caused by regional differences in service evaluation of staff to which logistics enterprises belong.
Disclosure of Invention
The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to identify key or critical elements of the invention or to delineate the scope of the invention. Its purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.
In view of the above, the invention aims at solving the problem of eliminating the regional difference of the evaluation indexes in the evaluation system, and is cut into from the characteristics of the fashion industry, the regional difference correction coefficient is obtained by the TOPSIS method, and all indexes which can be influenced by the regional difference are processed, so that the logistics enterprise has certain regional universality on the evaluation indexes of the staff to which the logistics enterprise belongs, and the evaluation system is fairer.
The present invention provides in a first aspect a method for performing regional difference correction on a logistics service evaluation, the method comprising: determining service evaluation of the logistics enterprises on the affiliated staff, and acquiring regional difference correction coefficients of the service evaluation of the logistics enterprises on the affiliated staff in different regions by adopting a TOPSIS method; and correcting the service evaluation by using the regional difference correction coefficient.
According to the method for carrying out regional difference correction on the logistics service evaluation, disclosed by the embodiment of the invention, the index which is influenced by the regional difference is processed by adopting the TOPSIS method, so that the regional universality of the logistics employee service evaluation index is obtained, and the evaluation system is fairer.
According to a specific embodiment of the present invention, in the correction method, when a TOPSIS method is adopted, a plurality of or all of the following indexes are selected as index influencing factors of the regional difference correction coefficient: the logistics industry production value, the regional GDP proportion of the third industry, the informatization level, the number of logistics industry operators, the logistics industry energy consumption, the express business volume and the line transportation length.
According to the specific embodiment of the invention, in the correction method, the Euclidean distance between the region sample point and the ideal point and the negative ideal point is calculated by using a TOPSIS method to represent the region difference coefficient.
According to a specific embodiment of the present invention, in the correction method, when the negative ideal point is determined, a virtual negative ideal point is constructed for the case that the euclidean distances between a plurality of region sample points and the ideal point and the negative ideal point are the same.
According to a specific embodiment of the present invention, in the correction method, the reciprocal of the region difference coefficient is used as a region difference correction coefficient.
According to a specific embodiment of the present invention, in the correction method, when the service evaluation is corrected, the region difference correction coefficient is multiplied by an index that affects the evaluation value due to the region difference as the correction result.
The present invention also provides in a second aspect a system for performing regional difference correction on service evaluations of logistics personnel, the system comprising: the index acquisition module is configured to determine service evaluation indexes of the logistics enterprises on the affiliated staff; the coefficient acquisition module is configured to acquire regional difference correction coefficients of service evaluation of staff belonging to different areas by using a TOPSIS method; and the correction module is configured to correct the service evaluation by using the regional difference correction coefficient.
According to a specific embodiment of the present invention, in the system, the coefficient acquisition module is configured to select, as the index influencing factors of the region difference correction coefficients, any or all of the following indexes: the logistics industry production value, the regional GDP proportion of the third industry, the informatization level, the number of logistics industry operators, the logistics industry energy consumption, the express business volume and the line transportation length.
According to a specific embodiment of the invention, in the system, the system is configured to calculate euclidean distances between the region sample points and the ideal points, negative ideal points to represent the region difference coefficient using a TOPSIS method.
According to a specific embodiment of the present invention, in the system, the system is configured to take the inverse of the region difference coefficient as a region difference correction coefficient.
According to a specific embodiment of the present invention, in the system, the system is configured to multiply the region difference correction coefficient by an index affecting the evaluation value due to the region difference as a correction result when the service evaluation is corrected.
According to the system for carrying out regional difference correction on the logistics service evaluation, disclosed by the embodiment of the invention, the index which is influenced by the regional difference is processed by configuring and adopting the TOPSIS method, so that the regional universality of the logistics employee service evaluation index is obtained, and the evaluation system is fairer.
Drawings
The above and other objects, features and advantages of the present invention will be more readily understood by reference to the following description of the embodiments of the present invention taken in conjunction with the accompanying drawings. The components in the figures are only to illustrate the principles of the present invention. In the drawings, the same or similar technical features or components will be denoted by the same or similar reference numerals.
FIG. 1 illustrates a flow chart of a method for regional discrepancy correction of a logistics service valuation, in accordance with one embodiment of the present invention;
FIG. 2 is a schematic diagram showing the composition of a system for performing regional difference correction on logistics service valuations, according to one embodiment of the present invention;
fig. 3 is a schematic diagram showing the composition of a computer system for performing a method for performing regional difference correction on a logistics service valuation according to one embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described below with reference to the accompanying drawings. Elements and features described in one drawing or embodiment of the invention may be combined with elements and features shown in one or more other drawings or embodiments. It should be noted that the illustration and description of components and processes known to those skilled in the art, which are not relevant to the present invention, have been omitted in the drawings and description for the sake of clarity.
Fig. 1 shows a flowchart of a method for regional variance correction for logistics service assessment, according to one embodiment of the present invention. The method comprises the following steps:
s100: determining service evaluation of a logistics enterprise on the affiliated staff;
s200: obtaining regional difference correction coefficients of service evaluation of logistics enterprises on staff belonging to different regions by adopting a TOPSIS method;
s300: and correcting the service evaluation by using the regional difference correction coefficient.
The service rating of the logistics enterprise for the affiliated staff includes, for example, one or more of the following rating indicators: aging is achieved: the singular number achieved in aging; express item loss: number of personal express losses; misoperation: packaging the irregular numbers, real-name irregular numbers and order information irregular numbers; non-accident attendance: the number of times of labor relief and the number of times of false requesting; customer complaints: the number of complaints from the small brothers; obtain praise: obtaining praise numbers; user scoring: 4-5 star praise, 1-3 star difference praise and number of appreciation times; service contribution: guiding and helping the number of new staff and achieving the number of month-ending clients; information contribution: the number of times the opinion is adopted and the number of times the information acquisition task is completed; public praise contribution: number of good events, number of time-lapse rescue; directional learning: a directional learning completion number; autonomous learning: an autonomous learning completion number; business potential: daily work operation specification score change number.
For example, achieving the singular within the timeframe is not only related to the physical staffing' own capacity, but also to the local actual pickup level, and to the local need for express service.
According to the method for carrying out regional difference correction on the logistics service evaluation, disclosed by the embodiment of the invention, the index which is influenced by the regional difference is processed by adopting the TOPSIS method, so that the regional universality of the logistics employee service evaluation index is obtained, and the evaluation system is fairer.
The invention aims to make a commodity circulation enterprise achieve multi-region or national universality on an evaluation system of commodity circulation staff, and the problem that the difference of evaluation standards among commodity circulation staff is too large is considered to be eliminated individually by individually, the evaluation range is too wide from the aspect of regional economic difference, and the problem that commodity circulation staff belongs to the technical field of commodity circulation is considered.
1. Index influence factor selection of regional difference coefficient
The index for representing the difference of the regional environmental factors in the logistics industry on the service evaluation of logistics staff is a regional difference coefficient. It is necessary to reasonably evaluate the comprehensive quality of logistics staff and to examine the influence of each regional environmental factor on the regional difference coefficient. They are called metrics. For example, GDP in each province is a more common measurement index in research, however, factors affecting regional differences are not only GDP, and a more comprehensive index system is needed when measuring differences.
According to regional division, 31 provinces and cities in the whole country are selected as objects for observing regional difference coefficients, and factors causing regional logistics differentiation are considered, wherein the factors comprise logistics infrastructure utilization rate (traffic conditions and the like), economic development level, informatization level, professional talents and the like, and are all differentiation influence factors.
1) Economic development level. The economic development level affects government and business logistics.
2) Logistics infrastructure utilization. The logistics infrastructure mainly comprises three major transportation facilities including roads, railways and channels. The utilization rate of logistics infrastructure influences the performance of logistics investment.
3) Level of informatization. The fields of informatization permeate logistics influence the exertion of logistics efficiency.
4) Professional talents. Talents are the key for improving logistics efficiency, and the application and management level of advanced logistics technology are improved without leaving professional talents.
5) And (5) energy consumption. The energy source provides power support for logistics transportation, and the energy consumption affects both logistics cost and environment.
According to a specific embodiment of the present invention, a plurality of or all of the following indexes are selected as index influence factors of the regional difference correction coefficients: the logistics industry production value, the regional GDP proportion of the third industry, the informatization level, the logistics industry practitioner, the logistics industry energy consumption, the express business volume and the line transportation length. For example, according to the representative and operability principle, 8 indexes of regional GDP of 31 provinces and cities, logistics industry production values, specific gravity of the regional GDP of the third industry occupation, informatization level, logistics industry practitioners, logistics industry energy consumption, express service volume and line transportation length are selected to calculate regional difference coefficients.
According to a specific embodiment of the present invention, these indexes of a part of provinces and cities may also be selected as targets of investigation. For example, only in some southern provinces, cities in the areas of long triangle, bead triangle, jingjinji, and the like are considered as joint investigation targets.
For a description of the respective indices, please see table 1.
TABLE 1 regional difference coefficient index system
The logistics industry energy consumption=GDP energy consumption in the unit area, namely a logistics industry production value is obtained through calculation, and certain difference exists between the logistics industry energy consumption=GDP energy consumption in the unit area and real data;
the level of informatization is measured by the ratio of the number of Internet users in each region to the total population of the region.
Method for calculating regional difference coefficient
The TOPSIS method (approach to ideal solution ordering, technique for order preference by similarity to ideal solution) was first proposed in 1981 by h.wang.c.l and yoon.k.s as a multi-objective decision method. Compared with the traditional multivariate statistical method for evaluating the problems, the TOPSIS method has the characteristics of visual analysis principle, simple and convenient calculation, low requirement on sample size and the like. The traditional TOPSIS method is modified, a decision matrix is established on the basis of 8 indexes affecting logistics efficiency, and a final region difference coefficient is obtained. The specific model building steps are as follows:
(1) establishing a decision matrix
8 indexes of each province in the whole country are arranged to form a matrix A= (a) ij ) 31*8 Wherein a is ij The j-th index value indicating the i-th province, i=1,..31, j=1,..8.
(2) Establishing a canonical matrix
Because the difference of the dimension and the value range among the original data can influence the final result, the original matrix is normalized to obtain a normalized matrix Z= (Z) ij ) 31*8 . Because the high-quality index and the low-quality index have difference in value consistency, the difference treatment is adopted to the high-quality index and the low-quality index, namely when the original index is the high-quality index,when the original index is a low-priority index, the ++>The high-priority index is an index with a higher value, namely the higher value indicates that the regional logistics industry is developed better. Conversely, the low-priority index is the index with the lower value and the better value. Except for the energy consumption of logistics industry, the other indexes are all high-quality indexes.
(3) Index weight determination
Because the contributions of different indexes to the regional difference coefficient are different, the index weight is obtained through an entropy method according to the characteristics of each index, namely the entropy of the jth index is as follows:wherein (1)>To avoid the influence of special value on weight calculation, let f be ij F when=0 ij ln f ij =0. Therefore the weight of the j-th index is calculated as +.>
(4) Constructing a weighted decision matrix
On the basis of determining the weights of the indexes, a weight matrix is constructed, and the most general situation is considered, namely, a main diagonal matrix W is constructed by taking the weights of the indexes as elements on the main diagonal to obtain a weighted decision matrix R.
(5) Determining a reference sample point
Searching ideal points and negative ideal points of the indexes respectively corresponding to the optimal value and the worst value of the indexes by taking the obtained weighted decision matrix as a standardAnd->Wherein,since the direct calculation of the region difference coefficient using the negative ideal point may occur when a plurality of region sample points having the same Euclidean distance as the ideal point and the negative ideal point cannot be distinguished, a virtual negative ideal point R is constructed * ＝2R - -R + . This indistinguishable situation is circumvented by extending the distance between the two. The Euclidean distance is used as a service evaluation index, so that the difference between the difference factors of each region and the ideal difference level can be reflected in a high degree of generalization.
(6) Calculating region difference coefficient
The euclidean norm is used herein as a criterion, also called euclidean distance.Representing province i to ideal sample point R + Distance of->Representing province i to virtual negative ideal sample point R * The distance of (2) is calculated as follows:
thus, the relative proximity of each province to the ideal sample point can be calculatedC i The larger the province i is, the closer to the optimal level, and the value range of the province i is [0.5,1]。
Use of regional difference coefficients:
based on 8 indexes affecting logistics efficiency, the obtained regional difference coefficient can reflect the comprehensive difference of each area in the aspects of economy, society, energy and the like, and meanwhile, as the regional difference coefficient is a relative value, each index of a logistics staff evaluation system can be simply and effectively converted, the regional difference caused by the factors is eliminated, and the evaluation index is enabled to reflect the development condition of logistics staff. In practical application, for easy understanding, defining regional difference correction coefficients of each province, namely the reciprocal form of the regional difference coefficientThe value range is [1,2 ]]. When in use, the regional difference correction coefficient is directly multiplied by the index which is influenced by the regional difference, so that the evaluation index after the regional difference correction is obtained.
When the technical scheme of the invention is applied to a logistics employee service evaluation system, the application range of the evaluation system can be effectively enlarged, cross-regional talent evaluation and management can be conveniently carried out by personnel units, and the satisfaction degree of employees is improved.
In terms of operation and use, the regional difference coefficient can be completely calculated through a program system, so that the field investigation and questionnaire access cost caused by solving the problem of index universality is reduced, and the working procedures and manpower are saved.
The thought and the method provided by the technology are not only limited to the problem of regional difference elimination of logistics staff service evaluation, but also can be applied to the problem of regional difference elimination of other labor-intensive industries, such as manufacturing industry and the like.
According to the embodiment of the invention, the regional difference coefficient correction coefficient can be obtained by taking a part of 8 indexes affecting the logistics efficiency as a basis. Which reflects the comprehensive differences of a part of the economic, social, energy and other aspects of each region.
According to a specific embodiment of the present invention, in the correction method, the TOPSIS method is used to calculate the euclidean distance between the ideal point and the negative ideal point to represent the region difference coefficient.
According to a specific embodiment of the present invention, in the above correction method, when determining the negative ideal point, a virtual negative ideal point is constructed for the case where the euclidean distances between the plurality of region sample points and the ideal point, the negative ideal point are the same. This can eliminate the situation that the negative ideal point is used to directly calculate the region difference coefficient, and a plurality of region sample points which are the same as the Euclidean distance between the ideal point and the negative ideal point cannot be distinguished.
According to a specific embodiment of the present invention, in the above-described correction method, the reciprocal of the region difference coefficient is taken as the region difference correction coefficient. The method can simply and intuitively reflect the inverse change relation between the regional difference correction coefficient and the regional difference coefficient.
According to a specific embodiment of the present invention, in the above-described correction method, when the service evaluation is corrected, the region difference correction coefficient is multiplied by an index that affects the evaluation value due to the region difference as the correction result. The method can simply and directly reflect the influence of the correction coefficient on the evaluation index.
The present invention also provides in a second aspect a system 1 for performing regional difference correction on service evaluations of logistic users, the system comprising: an index obtaining module 2 configured to determine a service evaluation index of the logistics enterprise to the logistics staff; the coefficient acquisition module 3 is configured to acquire regional difference correction coefficients of service evaluation of staff belonging to different areas by using a TOPSIS method; and a correction module 4 configured to correct the service evaluation by using the region difference correction coefficient.
According to the system for carrying out regional difference correction on the logistics service evaluation, disclosed by the embodiment of the invention, the TOPSIS method is adopted to process the index which is affected by the regional difference, so that the logistics enterprise obtains the regional universality on the service evaluation index of the staff to which the logistics enterprise belongs, and the evaluation system is fairer.
According to a specific embodiment of the present invention, in the system, the coefficient acquisition module is configured to select, as the index influencing factors of the region difference correction coefficients, any or all of the following indexes: the logistics industry production value, the regional GDP proportion of the third industry, the informatization level, the number of logistics industry operators, the logistics industry energy consumption, the express business volume and the line transportation length. Therefore, the regional difference coefficient obtained by the system can reflect the comprehensive difference of each region in the aspects of economy, society, energy and the like, and eliminate the regional difference caused by the factors, so that the evaluation index more purely reflects the development condition of logistics staff.
According to a specific embodiment of the invention, in the system, the system is configured to calculate the euclidean distance between the ideal point and the negative ideal point using a TOPSIS method to represent the regional difference coefficient. The Euclidean distance is used as a service evaluation index, so that the difference between the difference factors of each region and the ideal difference level can be reflected in a high degree of generalization.
According to a specific embodiment of the present invention, in the above system, the system is configured to take the reciprocal of the region difference coefficient as the region difference correction coefficient. This can simply and intuitively reflect the inverse change relationship between the region difference correction coefficient and the region difference coefficient
According to a specific embodiment of the present invention, in the system, the system is configured to multiply the region difference correction coefficient by an index affecting the evaluation value due to the region difference as a correction result when the service evaluation is corrected. This enables the system to simply and directly reflect the influence of the region difference correction coefficient on the evaluation index.
According to the system for carrying out regional difference correction on logistics service evaluation, disclosed by the embodiment of the invention, the index which is influenced by the regional difference is processed by configuring and adopting the TOPSIS method, so that the logistics enterprise obtains the regional universality on the service evaluation index of logistics staff, and the evaluation system is fairer.
Although the above method and system for performing regional difference correction on service evaluation are implemented for technical application in logistics industry, it is envisioned that the spirit of the technical scheme of the present invention can be applied to many other service industries, such as catering, entertainment theatre line, large traffic service enterprises, etc., by modifying and replacing the influencing factors of partial regional difference correction coefficients.
In another aspect, the present application further provides a computer program executable by a computer system, and fig. 3 is a schematic diagram illustrating a composition of the computer system for performing the method for performing regional difference correction on a logistics service assessment according to one embodiment of the present invention. The computer system includes: a Central Processing Unit (CPU) 301 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage section into a Random Access Memory (RAM) 303. In the RAM303, various programs and data required for the system operation are also stored. The CPU 301, ROM 302, and RAM303 are connected to each other through a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input section 306 including a keyboard, a mouse, and the like; an output section including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), etc., and a speaker, etc.; a storage section 308 including a hard disk or the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. The drives are also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.
In particular, the process described above with reference to flowchart 1 may be implemented as a computer software program according to an embodiment of the invention. For example, the embodiment of fig. 1 of the present invention includes a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts described above. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 301.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases. The described units or modules may also be provided in a processor.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the method as described in the above embodiments. The computer readable medium carries one or more programs which, when executed by one of the electronic devices, cause the electronic device to implement the method for performing regional difference correction on a logistics service evaluation as described in the above embodiment.
For example, the electronic device may implement a method for performing regional difference correction on a logistics service evaluation as shown in fig. 1, including: s100: determining service evaluation indexes of logistics enterprises on affiliated staff; s200: obtaining regional difference correction coefficients of service evaluation of logistics enterprises on staff belonging to different regions by adopting a TOPSIS method; s300: and correcting the service evaluation by using the regional difference correction coefficient.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A method for performing regional difference correction on a logistics service assessment, the method comprising:
determining service evaluation of a logistics enterprise on the affiliated staff;
obtaining regional difference correction coefficients of service evaluation of logistics enterprises on staff belonging to different regions by adopting a TOPSIS method;
correcting the service evaluation by using the region difference correction coefficient;
the obtaining the regional difference correction coefficient of the service evaluation of the logistics enterprises to staff belonging to different regions by adopting the TOPSIS method comprises the following steps:
constructing decision matrix
In the above-mentioned method, the step of,indicate->No. 4 of the province>Index value->=1,…,31，/>=1,…,8；
Normalizing the decision matrix to obtain a normalized matrix
In the above formula, when the service is evaluated as a high-priority index,
when the service evaluates to a low priority,
constructing a weighted decision matrix according to the specification matrix and the index weight of the service evaluation
In the above-mentioned method, the step of,，/>and->，/>Wherein when->When (I)>；
According to the weighted decision matrix, calculating the relative proximity of each province and an ideal sample point to obtain a regional difference coefficient
In the above-mentioned method, the step of,representing province->To the ideal sample point->Distance of->，/>，；/>Representing province->To the virtual negative ideal sample point->Distance of->，/>，/>，/>；
And taking the reciprocal of the regional difference coefficient as the regional difference correction coefficient.
2. The method according to claim 1, wherein when using a TOPSIS method, a plurality or all of the following indices are selected as index influencing factors of the region difference correction coefficients: the logistics industry production value, the regional GDP proportion of the third industry, the informatization level, the number of logistics industry operators, the logistics industry energy consumption, the express business volume and the line transportation length.
3. The method according to claim 1, characterized in that the method comprises: when the service evaluation is corrected, the region difference correction coefficient is multiplied by an index that affects the evaluation value due to the region difference as a correction result.
4. A system for performing regional difference correction on a logistics service assessment, the system comprising:
the index acquisition module is configured to determine service evaluation of the logistics enterprise on the affiliated staff;
the coefficient acquisition module is configured to acquire regional difference correction coefficients of service evaluation of staff belonging to different areas by using a TOPSIS method;
a correction module configured to correct the service evaluation using the regional difference correction coefficient;
wherein the coefficient acquisition module is configured to construct a decision matrix
In the above-mentioned method, the step of,indicate->No. 4 of the province>Index value->=1,…,31，/>=1,…,8；
Normalizing the decision matrix to obtain a normalized matrix
In the above formula, when the service is evaluated as a high-priority index,
when the service evaluates to a low priority,
constructing a weighted decision matrix according to the specification matrix and the index weight of the service evaluation
In the above-mentioned method, the step of,，/>and->，/>Wherein when->When (I)>；
According to the weighted decision matrix, calculating the relative proximity of each province and an ideal sample point to obtain a regional difference coefficient
In the above-mentioned method, the step of,representing province->To the ideal sample point->Distance of->，/>，；/>Representing province->To the virtual negative ideal sample point->Distance of->，/>，/>，/>；
And taking the reciprocal of the regional difference coefficient as the regional difference correction coefficient.
5. The system of claim 4, wherein the coefficient acquisition module is configured to select, as the index influencing factors of the regional difference correction coefficients, any or all of the following indices: the logistics industry production value, the regional GDP proportion of the third industry, the informatization level, the number of logistics industry operators, the logistics industry energy consumption, the express business volume and the line transportation length.
6. The system according to claim 4, wherein the system is configured to multiply the region difference correction coefficient by an index affecting the evaluation value due to the region difference as a correction result when the service evaluation is corrected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910091946.6A CN111507548B (en) | 2019-01-30 | 2019-01-30 | Method and system for carrying out regional difference correction on logistics service evaluation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910091946.6A CN111507548B (en) | 2019-01-30 | 2019-01-30 | Method and system for carrying out regional difference correction on logistics service evaluation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111507548A CN111507548A (en) | 2020-08-07 |
| CN111507548B true CN111507548B (en) | 2024-03-29 |
Family
ID=71870709
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910091946.6A Active CN111507548B (en) | 2019-01-30 | 2019-01-30 | Method and system for carrying out regional difference correction on logistics service evaluation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111507548B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003022361A (en) * | 2001-07-06 | 2003-01-24 | Ricoh Co Ltd | System, method and server for evaluating achievement, and program |
| CN106485443A (en) * | 2016-09-21 | 2017-03-08 | 北京邮电大学 | A kind of express delivery competing menu manager system and method based on third party's intelligence cloud platform |
| CN107784442A (en) * | 2017-10-26 | 2018-03-09 | 国网能源研究院有限公司 | A kind of Assessment method of power system comprehensive benefit |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180365641A1 (en) * | 2017-06-16 | 2018-12-20 | Zipcodexpress, Inc. | Locker-Based Logistics Management System |
-
2019
- 2019-01-30 CN CN201910091946.6A patent/CN111507548B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003022361A (en) * | 2001-07-06 | 2003-01-24 | Ricoh Co Ltd | System, method and server for evaluating achievement, and program |
| CN106485443A (en) * | 2016-09-21 | 2017-03-08 | 北京邮电大学 | A kind of express delivery competing menu manager system and method based on third party's intelligence cloud platform |
| CN107784442A (en) * | 2017-10-26 | 2018-03-09 | 国网能源研究院有限公司 | A kind of Assessment method of power system comprehensive benefit |
Non-Patent Citations (1)
| Title |
|---|
| "一带一路"背景下中国区域物流网络模型研究;徐剑等;《https://kns.cnki.net/kcms/detail/21.1558.C.20181121.0914.002.html》;20181121;第1-4页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111507548A (en) | 2020-08-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109697522B (en) | Data prediction method and device | |
| Qiang Chen et al. | Analysis of project delivery systems in Chinese construction industry with data envelopment analysis (DEA) | |
| CN106845777A (en) | Case workload evaluation method, judge's performance evaluation techniques, modeling method, computing device and computer-readable recording medium | |
| CN114493376B (en) | Task scheduling management method and system based on work order data | |
| CN113837488B (en) | Method, system and equipment for predicting energy consumption data | |
| CN109740036B (en) | Hotel ordering method and device for OTA platform | |
| CN112907063B (en) | Population mobility rate and house vacancy rate determining method and terminal equipment | |
| WO2023134188A1 (en) | Index determination method and apparatus, and electronic device and computer-readable medium | |
| CN110458668A (en) | Determine the method and device of Products Show algorithm | |
| CN112150094A (en) | Model training method, model-based evaluation method and model-based evaluation device | |
| WO2017071369A1 (en) | Method and device for predicting user unsubscription | |
| CN114418393A (en) | Computing system and computing method for water resource utilization efficiency | |
| CN112308594A (en) | Address selection system, method, electronic device and storage medium | |
| CN113361959A (en) | Method and device for calculating maturity of centralized operation of banking business | |
| CN114021873A (en) | Data index quantification method and intelligent park enterprise value evaluation system | |
| CN111507548B (en) | Method and system for carrying out regional difference correction on logistics service evaluation | |
| CN112257958A (en) | Power saturation load prediction method and device | |
| CN103955798B (en) | A kind of provincial electric-power metering center verification task flow monitoring method | |
| WO2024065776A1 (en) | Method for data processing, apparatus for data processing, electronic device, and storage medium | |
| CN115860548A (en) | SaaS one-stop platform management method, system and medium based on big data | |
| CN115689143A (en) | Work order assignment method, work order assignment device, electronic device and medium | |
| CN114022045A (en) | Regional economic development level determining method and device and terminal equipment | |
| CN114462760A (en) | Construction time sequence determination method for autonomous bus informatization system | |
| CN112927050A (en) | Method and device for determining financial product to be recommended, electronic equipment and storage medium | |
| CN113934894A (en) | Data display method based on index tree and terminal equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |