CN113177706A - Project performance analysis system and method - Google Patents

Project performance analysis system and method Download PDF

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CN113177706A
CN113177706A CN202110447464.7A CN202110447464A CN113177706A CN 113177706 A CN113177706 A CN 113177706A CN 202110447464 A CN202110447464 A CN 202110447464A CN 113177706 A CN113177706 A CN 113177706A
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李松原
凌黄宝
胡锡挺
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Dongfeng Liuzhou Motor Co Ltd
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Abstract

The invention relates to the technical field of automobile project management and discloses a project performance analysis system and method. The project data module acquires vehicle type project performance analysis data and sends the vehicle type project performance analysis data to the project performance evaluation module; and the project performance evaluation module carries out performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a single project performance incentive amount according to the performance evaluation points and the performance incentive total amount. Therefore, the performance evaluation points of a single project are used for guiding the project performance distribution.

Description

Project performance analysis system and method
Technical Field
The invention relates to the technical field of automobile project management, in particular to a project performance analysis system and method.
Background
The vehicle type project performance is the value evaluation of the vehicle type project according to dimensions such as vehicle type development content, contribution to enterprises and the like. The project performance evaluation result is used for the project reward issue of project group members. The vehicle type project performance management is an important link of project management. Good project performance management can effectively evaluate the development efficiency of each vehicle type project, promotes the investment enthusiasm of developers, is favorable for each project and benchmarking project to mark, ensures that the FQCD index of the project is achieved, and is very important for the performance management due to more dimensionalities of vehicle type project performance consideration. At present, the work is organized and coordinated through manpower, but mismatching of indexes cannot objectively evaluate the performance of each item, and actual contribution of each item cannot be quantified. The difficulty of project performance is also how to quantify the project value and realize the quantitative evaluation comparison between projects.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a project performance analysis system and a project performance analysis method, which aim to solve the problem of how to quantify the value of a project and realize the numerical evaluation comparison between the project and the project.
In order to achieve the above object, the present invention provides a project performance analysis system, including: the project performance analysis system comprises: the project performance evaluation module is used for evaluating the performance of the project;
the project data module is used for acquiring vehicle type project performance analysis data and sending the vehicle type project performance analysis data to the project performance evaluation module;
and the project performance evaluation module is used for performing performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data and obtaining a performance incentive amount according to the performance evaluation points and the total performance incentive amount.
Optionally, the item data module includes: a project information unit, a standard man-hour database unit and a project achievement management unit; wherein the content of the first and second substances,
the project information unit is used for acquiring project parameters of vehicle type project performance analysis data and sending the project parameters to the project performance evaluation module;
the standard working hour database unit is used for acquiring standard working hours of vehicle type project performance analysis data and sending the standard working hours to the project performance evaluation module;
the project achievement management unit is used for acquiring a project achievement rate of vehicle model project performance analysis data and sending the project achievement rate to the project performance evaluation module;
the project performance evaluation module is also used for performing performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the performance incentive total.
Optionally, the project performance evaluation module includes a data storage unit and a performance analysis unit; wherein the content of the first and second substances,
the data storage unit is used for storing the project parameters, the standard working hours and the project achievement rate;
and the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive amount.
Optionally, the performance analysis unit includes: the system comprises a normalization processing subunit, an entropy value subunit, an entropy weight subunit, a target weight subunit, a performance evaluation point subunit and a performance incentive subunit; wherein the content of the first and second substances,
the normalization processing subunit is configured to perform normalization processing on the project parameters, the standard labor hours, and the project achievement rates in the data storage unit to obtain normalized values of the project parameters, the standard labor hours, and the project achievement rates;
the entropy value subunit is configured to perform entropy value processing on the normalization value of the project parameter, the normalization value of the standard labor hour, and the normalization value of the project achievement rate to obtain an entropy value of the project parameter, an entropy value of the standard labor hour, and an entropy value of the project achievement rate;
the entropy weight subunit is configured to perform entropy weight processing on the entropy values of the project parameters, the standard labor hour and the project achievement rate to obtain entropy weights of the project parameters, the standard labor hour and the project achievement rate;
the target weight subunit is configured to perform weight processing on the entropy weight of the project parameter, the entropy weight of the standard labor hour, and the entropy weight of the project achievement rate to obtain a target weight of the project parameter, a target weight of the standard labor hour, and a target weight of the project achievement rate;
the performance evaluation point subunit is used for performing performance evaluation on the target weight of the project parameters, the target weight of the standard working hours and the target weight of the project achievement rate to obtain performance evaluation points;
and the performance incentive rate subunit is used for acquiring a performance incentive total rate and determining the performance incentive rate according to the performance evaluation points and the performance incentive total rate.
Optionally, the project performance evaluation module further includes: an interactive interface unit; wherein the content of the first and second substances,
and the interactive interface unit is used for carrying out interface display on the project parameters, the standard working hours, the project achievement rate and the performance incentive rates.
Further, in order to achieve the above object, the present invention provides a project performance analysis method applied to a project performance analysis system, the project performance analysis system including: the project performance evaluation module is used for evaluating the performance of the project;
the project performance analysis method comprises the following steps:
the project data module acquires vehicle type project performance analysis data and sends the vehicle type project performance analysis data to the project performance evaluation module;
and the project performance evaluation module carries out performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount.
Optionally, the item data module includes: a project information unit, a standard man-hour database unit and a project achievement management unit;
the acquiring vehicle type project performance analysis data and sending the vehicle type project performance analysis data to the project performance evaluation module comprises the following steps:
the project information unit acquires project parameters of vehicle type project performance analysis data and sends the project parameters to the project performance evaluation module;
the standard working hour database unit acquires standard working hours of vehicle type project performance analysis data and sends the standard working hours to the project performance evaluation module;
the project achievement management unit acquires a project achievement rate of vehicle type project performance analysis data and sends the project achievement rate to the project performance evaluation module;
further, the performance evaluation module of the project evaluates the performance of the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount, including:
and the project performance evaluation module carries out performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive sum according to the performance evaluation points and the performance incentive sum.
Optionally, the project performance evaluation module includes a data storage unit and a performance analysis unit;
the project performance evaluation module carries out performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtains performance incentive points according to the performance evaluation points and the performance incentive total amount, and the project performance evaluation module comprises:
the data storage unit is used for storing the project parameters, the standard working hours and the project achievement rate;
the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive sum.
Optionally, the performance analysis unit includes: the system comprises a normalization processing subunit, an entropy value subunit, an entropy weight subunit, a target weight subunit, a performance evaluation point subunit and a performance incentive subunit;
the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive sum, and comprises the following steps:
the normalization processing subunit performs normalization processing on the project parameters, the standard man-hours and the project achievement rates in the data storage unit to obtain normalized values of the project parameters, the standard man-hours and the project achievement rates;
the entropy value subunit carries out entropy value processing on the normalization value of the project parameter, the normalization value of the standard working hour and the normalization value of the project achievement rate to obtain an entropy value of the project parameter, an entropy value of the standard working hour and an entropy value of the project achievement rate;
the entropy weighting subunit performs entropy weighting processing on the entropy of the project parameter, the entropy of the standard man-hour and the entropy of the project achievement rate to obtain the entropy weighting of the project parameter, the entropy weighting of the standard man-hour and the entropy weighting of the project achievement rate;
the target weight subunit performs weight processing on the entropy weight of the project parameter, the entropy weight of the standard man-hour and the entropy weight of the project achievement rate to obtain the target weight of the project parameter, the target weight of the standard man-hour and the target weight of the project achievement rate;
the performance evaluation point subunit performs performance evaluation on the target weight of the project parameter, the target weight of the standard working hours and the target weight of the project achievement rate to obtain a performance evaluation point;
and the performance incentive rate subunit acquires a performance incentive total rate and determines the performance incentive rate according to the performance evaluation points and the performance incentive total rate.
Optionally, the project performance evaluation module further includes: an interactive interface unit;
the performance analysis unit is used for performing performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and after obtaining performance incentive points according to the performance evaluation points and the performance incentive total amount, the performance analysis unit further comprises:
and the interactive interface unit is used for carrying out interface display on the project parameters, the standard working hours, the project achievement rate and the performance incentive amount.
The project data module acquires vehicle type project performance analysis data and sends the vehicle type project performance analysis data to the project performance evaluation module; and the project performance evaluation module carries out performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount. The vehicle type project performance analysis data in the project data module are input, the project performance evaluation module is combined to perform performance evaluation on each project data to obtain performance evaluation points, performance measurement and calculation are performed according to the performance evaluation points to obtain performance incentive points, and accordingly the performance evaluation points of a single project are obtained to guide project performance distribution.
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FIG. 1 is a block diagram of the architecture of a first embodiment of a project performance analysis system of the present invention;
FIG. 2 is a block diagram of a second embodiment of a project performance analysis system in accordance with the present invention;
FIG. 3 is a block diagram of a project performance analysis system according to a third embodiment of the present invention;
FIG. 4 is a flowchart illustrating a first embodiment of a project performance analysis method according to the present invention;
FIG. 5 is a flowchart illustrating a second embodiment of a project performance analysis method according to the present invention;
fig. 6 is a flowchart illustrating a project performance analysis method according to a third embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a block diagram showing a first embodiment of a project performance analysis system according to the present invention.
In this embodiment, the project performance analysis system includes: the project performance evaluation system comprises a project data module 10 and a project performance evaluation module 20, wherein the project data module 10 is used for providing data of each project to the performance evaluation module 20 for performance measurement and evaluation, and the project performance evaluation module 20 is mainly used for project performance analysis and is stored with a performance analysis unit 70. Through the input of project data, the subjective and objective evaluation is combined, the evaluation dimension weight is confirmed based on an entropy method, the evaluation data is subjected to normalization management, the performance points of a single project are finally obtained, and the project performance distribution is guided. The system can transmit data and store the data through network transmission of an HTTP protocol, and the project performance analysis system realizes the numerical display of the vehicle type project performance through objective and feasible evaluation of the project performance in the embodiment.
It should be noted that the vehicle type project performance analysis data mainly provides relevant data for the project performance evaluation module 20, mainly includes project parameters, standard man-hours and project achievement rate, the project parameters, the standard man-hours and the project achievement rate of the vehicle type project performance analysis data are obtained by the project data module 10, and the project parameters, the standard man-hours and the project achievement rate are fed back to the project performance evaluation module 20.
It can be understood that the project performance evaluation module 20 receives the project parameters, the standard man-hours and the project achievement rate of the vehicle model project performance analysis data, calculates the corresponding normalization value, entropy weight and target weight according to the provided project parameters, standard man-hours and project achievement rate, then obtains the performance evaluation points by evaluating the target weight, and finally obtains the performance incentive amount according to the given performance incentive total amount.
In this embodiment, the project data module 10 acquires vehicle type project performance analysis data, and sends the vehicle type project performance analysis data to the project performance evaluation module 20; the project performance evaluation module 20 performs performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount. Through the data input of the vehicle-type project performance analysis data in the project data module 10, the project performance evaluation module 20 is combined to perform performance evaluation on each project data to obtain performance evaluation points, and performance measurement and calculation are performed according to the performance evaluation points to obtain performance incentive points, so that the performance distribution of the project is guided by obtaining the performance evaluation points of a single project.
Referring to fig. 2 and fig. 2 are block diagrams showing the structure of a second embodiment of the project performance analysis system according to the present invention, and the second embodiment of the project performance analysis system according to the present invention is proposed based on the first embodiment.
The project parameters acquired by the project information unit 30 may be basic parameters established when the vehicle model project is established, and may include: 1. an item code; 2. the total period from project establishment to normal Production (SOP), i.e., the development period of the project; 3. item level: the project can be graded into A level, B level and C level, and the grading basis is the development period and the vehicle type project development content; 4. developing contents: the method refers to the development content of a vehicle type project, including whether the development of a power assembly is involved, whether the development of a model and a body in white is involved, and the like; 5. sales data: the evaluation refers to the dimension of sales volume of vehicle type project planning when developing a vehicle type, and for the performance evaluation of mass production vehicle type, the evaluation refers to the actual annual sales volume of the vehicle type, namely the sales volume value of the vehicle type, and can be a target sales volume or an actual sales volume; 6. project schedule: the detailed work plan of project development is shown, and comprises various major milestone nodes and the like; 7. strategic attributes: the dimension score is a developed vehicle type set for long-term product structure layout, has long-term significance on enterprise development, and is not only contribution of pure sales, and the dimension score forms a strategic attribute containing subjective and objective factors, such as the following table 1, when setting up items for vehicle type projects, so that the score of each vehicle type is accumulated according to development content and project levels, which is not limited in the embodiment. And when the performance of the project needs to be distributed, the node achievement condition of the project in the performance investigation time period is assessed.
Strategic significance Score value
Product grading Grade A project, 8-10 points, grade B6-8 points, and grade C3-6 points
Brand-new platform 10 minutes
First carrying power assembly 5 points of
Brand new interior and exterior decoration 5 points of
Model type with brand image 5 points of
Others Assessment assignment by one skilled in the art, total score not exceeding 10 points
TABLE 1
It should be noted that, the project information unit 30 of the project data module 10 collects basic parameters and then feeds the basic parameters back to the project performance evaluation module 20.
It is understood that the standard man-hour obtained by the standard man-hour database unit 40 can be an important parameter for the numerical lateral comparison of the vehicle type items, and the standard man-hour data is extracted from the standard man-hour database unit 40 to calculate the standard man-hour of each vehicle type item according to the time dimension of the performance evaluation. After the vehicle type project is established, each system carries out technical scheme feasibility analysis, project management carries out project schedule compilation, and a vehicle type project standard man-hour database unit 40 is established by combining project schedules and development contents. When the time dimension evaluated by the project incentive is defined, the standard man-hours can be accumulated by a table lookup method, for example, as shown in table 2 below, the standard man-hours of the vehicle type project MPV1 and the vehicle type project MPV2 in the next half year of 2020, so that the vehicle type project MPV1 is 650 in the fourth quarter of 2020, and the vehicle type project MPV2 is 453 in the fourth quarter of 2020.
Figure BDA0003037438640000081
TABLE 2
It should be noted that the standard man-hour database unit 40 is a standard post for standard industry, and is established by combining with the actual performance of the enterprise, and by taking the system as a unit, the total standard man-hour of the vehicle type project is obtained by accumulating the standard man-hours of each system according to the development content, and meanwhile, the standard man-hours of each system can be further refined according to the project schedule, so as to obtain the standard man-hour of the system and the standard man-hour of the vehicle type project of the specified time span.
It is understood that the project achievement rate obtained by the project achievement management unit 50 may be a project schedule achievement condition, and the project node management specifies an important milestone meeting achievement condition in addition to normal development progress. The milestone meeting is a judgment node for judging whether the project can enter the next stage, and comprises the judgment of the achievement condition of each index of the project FQCD, so that the achievement condition of the project node directly reflects the project development quality and the project development efficiency. The project achievement also comprises the goal achievement, and mainly considers the achievement conditions of indexes such as quality, cost, performance and the like of the project.
The project achievement managing unit 50 of the project data module 10 acquires the project achievement rate and then feeds back the project achievement rate to the project performance evaluation module 20.
It should be understood that through the input of project parameters, standard man-hours and project achievement rates in the project data, in combination with subjective and objective evaluations, the evaluation dimension weights are confirmed based on an entropy method, the evaluation data is subjected to normalization management, the performance points of a single project are finally obtained, and then the total amount is stimulated based on given performance and the performance points are based on the performance points, so that the project performance distribution is guided.
In the embodiment, the project information unit 30 is used for acquiring the project parameters of the vehicle type project performance analysis data, the standard working hour database unit 40 is used for acquiring the standard working hours of the vehicle type project performance analysis data, the project achievement management unit 50 is used for acquiring the project achievement rate of the vehicle type project performance analysis data, and the project parameters, the standard working hours and the project achievement rate are fed back to the project performance evaluation module 20, the project performance evaluation module 20 is used for performing performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain the performance evaluation points corresponding to the project performance analysis data, and obtaining the performance incentive amount according to the performance evaluation points and the total performance incentive amount, so that the effectiveness of project performance distribution is guided by obtaining the performance evaluation points of a single project.
Referring to fig. 3, fig. 3 is a block diagram showing a third embodiment of the project performance analysis system according to the present invention, and the third embodiment of the project performance analysis system according to the present invention is proposed based on the first embodiment.
It will be appreciated that the data storage unit 60 is responsible for receiving and storing data obtained from the project data modules 10, as well as storing analysis records returned by the performance analysis unit for ease of querying.
Note that, the performance analysis unit 70 includes: a normalization processing subunit 701, an entropy value subunit 702, an entropy weight subunit 703, a target weight subunit 704, a performance evaluation points subunit 705, and a performance incentive subunit 706.
The project parameters may be the sales value and the strategic attribute score of the vehicle model in the implementation process, and the normalization processing subunit 701 obtains the normalized value of the sales value, the normalized value of the strategic attribute score, the normalized value of the standard labor hour, and the normalized value of the project achievement rate by normalizing the sales value, the strategic attribute score, the standard labor hour, and the project achievement rate of the vehicle model, specifically, the following formula (one):
Figure BDA0003037438640000091
wherein s isiSales value, v, for the ith vehicle modeliScore the strategic attribute of the ith vehicle type, tiStandard man-hour for ith vehicle type, riThe project achievement rate of the ith vehicle type, s is target sales volume or actual sales volume, ν is strategic attribute, t is standard working hour, r is project achievement rate, s isi' is a normalized value of the sales value, vi' normalized value of strategic Attribute score, ti' is a normalized value of standard man-hour, ri' is a normalized value of the project achievement rate.
It should be noted that, in order to avoid meaningless numerical values in subsequent calculations, the calculation needs to be performed after uniformly adding 0.001 to the result after the last normalization processing, so as to obtain the proportion of the ith vehicle type in each index, which is specifically represented by the following formula (ii):
Figure BDA0003037438640000101
wherein the content of the first and second substances,
Figure BDA0003037438640000102
the model is the proportion of the ith vehicle type in the standard work hour index,
Figure BDA0003037438640000103
the proportion of the ith vehicle type in the strategic attribute score index is,
Figure BDA0003037438640000104
the model is the proportion of the ith vehicle type in the standard work hour index,
Figure BDA0003037438640000105
the model is the proportion of the ith vehicle model in the project achievement rate index, and m is m samples including m vehicle models participating in performance evaluation.
It can be understood that, the entropy subunit 702 calculates the entropy of each index under the calculation of each index according to the normalization value of the marketing value, the normalization value of the strategic attribute score, the normalization value of the standard labor hour, and the normalization value of the project achievement rate, so as to obtain the entropy of the marketing value, the entropy of the strategic attribute score, the entropy of the standard labor hour, and the entropy of the project achievement rate, which are specifically expressed by the following formula (iii):
Figure BDA0003037438640000106
wherein e issEntropy, e, of the magnitude of the pinνEntropy value, e, scoring strategic attributestEntropy of standard man-hours, erEntropy values for project achievement rates.
It should be understood that the entropy weighting subunit 703 calculates the entropy weights of the indexes according to the entropy of the sales value, the entropy of the strategic attribute score, the entropy of the standard labor hour, and the entropy of the project achievement rate, so as to obtain the entropy weight of the sales value, the entropy weight of the strategic attribute score, the entropy weight of the standard labor hour, and the entropy weight of the project achievement rate, which are specifically expressed by the following formula (four):
Figure BDA0003037438640000111
wherein, ewsEntropy weights, ew, which are measure valuesνEntropy weight, ew, scored for strategic attributestEntropy weight of standard man-hours, ewrEntropy weights for term achievement rates.
It is to be understood that the target weight subunit 704 obtains the target weight of the sales value, the target weight of the strategic attribute score, the target weight of the standard labor hour, and the target weight of the project achievement rate by calculating the final weight of each index for the entropy weight of the sales value, the entropy weight of the strategic attribute score, and the entropy weight of the project achievement rate and the subjective weight of the sales value, the subjective weight of the strategic attribute score, the subjective weight of the standard labor hour, and the subjective weight of the project achievement rate.
Furthermore, the entropy weight of the project achievement rate and the subjective weight of the sales value, the subjective weight of the strategic attribute score, the subjective weight of the standard work hour and the subjective weight of the project achievement rate are that the opinions of experts are collected for each index, the index weight assignment of each expert is calculated respectively, finally, the arithmetic mean of the weight assignments of all the experts is taken as the subjective weight of the index, in the implementation process, n experts are provided for participating in the evaluation, the jth expert gives the sales value the weight of which is
Figure BDA0003037438640000112
The jth expert weights the strategic attribute score by
Figure BDA0003037438640000113
The jth expert gives a weight to the standard work hours of
Figure BDA0003037438640000114
The j-th expert gives a weight to the project achievement rate of
Figure BDA0003037438640000115
Then the subjective weight is calculated as the following equation (five):
Figure BDA0003037438640000116
Figure BDA0003037438640000121
wherein, pwsIs the subjective weight of the magnitude of the pin, pwνSubjective weighting, pw, for scoring strategic attributestIs the subjective weight of the standard man-hour, pwrSubjective weighting of project achievement rate.
Further, the target weight is calculated by the following formula (six):
Figure BDA0003037438640000122
wherein, wsTarget weight, w, for the magnitude of the pinνTarget weight, w, for scoring strategic attributestTarget weight for standard man-hour, wrTarget weight of project achievement rate.
It is to be understood that the performance evaluation point subunit 705 calculates the final performance evaluation point for each vehicle type by using the target weight of the sales value, the target weight of the strategic attribute score, the target weight of the standard man-hour, and the target weight of the project achievement rate, and calculates the following formula (seven):
pi＝ws·si'+wν·νi'+wt·ti'+wr·ri'; formula (seven)
Wherein p isiAnd evaluating points for final performance.
It is to be understood that the performance incentive total may be a value given by one skilled in the art, and may be represented by M in the specific implementation, and the performance incentive value subunit 706 calculates the following formula (eight) according to the performance incentive total and the performance rating points technical performance incentive value:
Figure BDA0003037438640000123
wherein M isiIs the performance incentive.
It is to be understood that the interactive interface unit 80 is responsible for performance interface management, inputs evaluation parameters such as sales values, strategic attribute scores, standard man-hours, and project achievement rates, and displays and outputs performance evaluation results.
In the embodiment, evaluation parameters such as a sales value, strategic attribute score, standard working hours and project achievement rate are input into the project performance evaluation module 20 through project information, the project performance evaluation module 20 arranges vehicle type data included in performance evaluation, objective weights are measured and calculated through the performance analysis unit 70, objective comprehensive weights are finally obtained through weighting by experts, then, project performance evaluation points are obtained after data are normalized and weighted and summed, then, related points can be used for decomposing vehicle type project incentive amount, and performance incentive amount is decomposed to individuals by technicians in the field, so that the performance evaluation points of a single project are further improved, and project performance distribution accuracy is guided.
Referring to fig. 4, fig. 4 is a schematic flow chart of a first embodiment of the project performance analysis method according to the present invention, the project performance analysis method is applied to a project performance analysis system, and the project performance analysis system includes: the project performance evaluation system comprises a project data module and a project performance evaluation module.
The project performance analysis method comprises the following steps:
step S10: the project data module acquires vehicle type project performance analysis data and sends the vehicle type project performance analysis data to the project performance evaluation module.
In this embodiment, the project performance analysis system includes: the project performance evaluation module is mainly used for project performance analysis and is provided with a performance analysis unit. Through the input of project data, the subjective and objective evaluation is combined, the evaluation dimension weight is confirmed based on an entropy method, the evaluation data is subjected to normalization management, the performance points of a single project are finally obtained, and the project performance distribution is guided. The system can transmit data and store the data through network transmission of an HTTP protocol, and the project performance analysis system realizes the numerical display of the vehicle type project performance through objective and feasible evaluation of the project performance in the embodiment.
It should be noted that the vehicle type project performance analysis data mainly provides relevant data for the project performance evaluation module, and mainly includes project parameters, standard man-hours and project achievement rate, the project parameters, the standard man-hours and the project achievement rate of the vehicle type project performance analysis data are obtained through the project data module, and the project parameters, the standard man-hours and the project achievement rate are fed back to the project performance evaluation module.
Step S20: and the project performance evaluation module carries out performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount.
It can be understood that the project performance evaluation module receives the project parameters, the standard working hours and the project achievement rate of the vehicle model project performance analysis data, calculates the corresponding normalization value, entropy weight and target weight according to the project parameters, the standard working hours and the project achievement rate, then obtains the performance evaluation points by evaluating the target weight, and finally obtains the performance incentive amount by calculating according to the given performance incentive total amount.
In the embodiment, the project data module acquires vehicle type project performance analysis data and sends the vehicle type project performance analysis data to the project performance evaluation module; and the project performance evaluation module carries out performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount. The vehicle type project performance analysis data in the project data module are input, the project performance evaluation module is combined to perform performance evaluation on each project data to obtain performance evaluation points, performance measurement and calculation are performed according to the performance evaluation points to obtain performance incentive points, and accordingly the performance evaluation points of a single project are obtained to guide project performance distribution.
Fig. 5 is a flowchart illustrating a second embodiment of the project performance analysis method according to the present invention, and the project performance analysis method according to the second embodiment of the present invention is proposed based on the first embodiment.
In this embodiment, the item data module includes: a project information unit, a standard man-hour database unit and a project achievement management unit, wherein the step S10 includes:
step S101: the project information unit acquires project parameters of vehicle type project performance analysis data and sends the project parameters to the project performance evaluation module.
The project parameters acquired by the project information unit may be basic parameters established when the vehicle type project is established, and may include: 1. an item code; 2. the total period from project establishment to normal Production (SOP), i.e., the development period of the project; 3. item level: the project can be graded into A level, B level and C level, and the grading basis is the development period and the vehicle type project development content; 4. developing contents: the method refers to the development content of a vehicle type project, including whether the development of a power assembly is involved, whether the development of a model and a body in white is involved, and the like; 5. sales data: the evaluation refers to the dimension of sales volume of vehicle type project planning when developing a vehicle type, and for the performance evaluation of mass production vehicle type, the evaluation refers to the actual annual sales volume of the vehicle type, namely the sales volume value of the vehicle type, and can be a target sales volume or an actual sales volume; 6. project schedule: the detailed work plan of project development is shown, and comprises various major milestone nodes and the like; 7. strategic attributes: the method is a developed vehicle model set aiming at long-term product structure layout, has long-term significance on enterprise development, and is not only a contribution of pure sales. The dimension score includes subjective and objective factors, and is a strategic attribute when the vehicle type project is determined as shown in table 1 below, so that the score is accumulated according to development content and project level for each vehicle type, which is not limited in this embodiment. And when the performance of the project needs to be distributed, the node achievement condition of the project in the performance investigation time period is assessed.
Figure BDA0003037438640000141
Figure BDA0003037438640000151
TABLE 1
It should be noted that, basic parameters are collected through the project information unit of the project data module, and then the basic parameters are fed back to the project performance evaluation module.
Step S102: and the standard working hour database unit acquires standard working hours of vehicle type project performance analysis data and sends the standard working hours to the project performance evaluation module.
It can be understood that the standard man-hour obtained by the standard man-hour database unit can be an important parameter for the numerical lateral comparison of vehicle type items, and the standard man-hour data is extracted from the standard man-hour database, and the standard man-hour of each vehicle type item is calculated according to the time dimension of performance evaluation. After the vehicle type project is established, each system carries out technical scheme feasibility analysis, project management carries out project schedule compilation, a vehicle type project standard working hour database is established by combining project schedules and development contents, the system standard working hours of each vehicle type development system at each stage of the project development have the database, and the sum of the system standard working hours is the project standard working hours. When the time dimension evaluated by the project incentive is defined, the standard man-hours can be accumulated by a table lookup method, for example, as shown in table 2 below, the standard man-hours of the vehicle type project MPV1 and the vehicle type project MPV2 in the next half year of 2020, so that the vehicle type project MPV1 is 650 in the fourth quarter of 2020, and the vehicle type project MPV2 is 453 in the fourth quarter of 2020.
Figure BDA0003037438640000152
TABLE 2
It should be noted that the standard man-hour database is a benchmarking industrial benchmarking and is established by combining with the actual performance of the enterprise, the total standard man-hour of the vehicle type project is obtained by accumulating the standard man-hours of each system according to the development content by taking the system as a unit, and meanwhile, the standard man-hours of each system can be further refined according to the project schedule to obtain the standard man-hour of the system and the standard man-hour of the vehicle type project of the specified time span.
The standard working hours are obtained through a standard working hour database unit of the project data module, and then the standard working hours are fed back to the project performance evaluation module.
Step S103: the project achievement management unit acquires a project achievement rate of vehicle type project performance analysis data and sends the project achievement rate to the project performance evaluation module.
It can be understood that the project achievement rate acquired by the project achievement management unit can be the achievement condition of project schedule by schedule, and project node management specifies the achievement condition of important milestone meeting besides normal development progress. The milestone meeting is a judgment node for judging whether the project can enter the next stage, and comprises the judgment of the achievement condition of each index of the project FQCD, so that the achievement condition of the project node directly reflects the project development quality and the project development efficiency. The project achievement also comprises the goal achievement, and mainly considers the achievement conditions of indexes such as quality, cost, performance and the like of the project.
The project achievement management unit of the project data module acquires the project achievement rate and then feeds back the project achievement rate to the project performance evaluation module.
Further, step S20 includes:
step S201: and the project performance evaluation module carries out performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive sum according to the performance evaluation points and the performance incentive sum.
It should be understood that through the input of project parameters, standard man-hours and project achievement rates in the project data, in combination with subjective and objective evaluations, the evaluation dimension weights are confirmed based on an entropy method, the evaluation data is subjected to normalization management, the performance points of a single project are finally obtained, and then the total amount is stimulated based on given performance and the performance points are based on the performance points, so that the project performance distribution is guided.
In the embodiment, the project parameters of vehicle type project performance analysis data are acquired through a project information unit, the standard working hours of the vehicle type project performance analysis data are acquired through a standard working hour database unit, the project achievement management unit acquires the project achievement rate of the vehicle type project performance analysis data, and the project parameters, the standard working hours and the project achievement rate are fed back to a project performance evaluation module, the project performance evaluation module performs performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtains performance incentive points according to the performance evaluation points and the total performance incentive points, so that the performance evaluation points of a single project are further improved, and the effectiveness of project performance distribution is guided.
Fig. 6 is a flowchart illustrating a third embodiment of the project performance analysis method according to the present invention, and the third embodiment of the project performance analysis method according to the present invention is proposed based on the first embodiment.
In this embodiment, the project performance evaluation module includes a data storage unit and a performance analysis unit, and the step S201 includes:
step S2011: the data storage unit stores the project parameters, the standard man-hours and the project achievement rate.
It will be appreciated that the data storage unit is responsible for receiving and storing data obtained from the project data modules, as well as storing analysis records returned by the performance analysis unit for facilitating queries.
Step S2012: the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive sum.
The performance analysis unit includes: the system comprises a normalization processing subunit, an entropy value subunit, an entropy weight subunit, a target weight subunit, a performance evaluation point subunit and a performance incentive subunit.
Further, step S2012 includes:
the normalization processing subunit performs normalization processing on the project parameters, the standard man-hours and the project achievement rates in the data storage unit to obtain normalized values of the project parameters, the standard man-hours and the project achievement rates.
The project parameter may be a sales value and a strategic attribute score of the vehicle type in the specific implementation process, and the normalization processing subunit obtains a normalization value of the sales value, a normalization value of the strategic attribute score, a normalization value of the standard labor hour, and a normalization value of the project achievement rate by normalizing the sales value, the strategic attribute score, the standard labor hour, and the project achievement rate of the vehicle type, and specifically, the following formula (one):
Figure BDA0003037438640000171
wherein s isiSales value, v, for the ith vehicle modeliScore the strategic attribute of the ith vehicle type, tiStandard man-hour for ith vehicle type, riThe project achievement rate of the ith vehicle type, s is target sales volume or actual sales volume, ν is strategic attribute, t is standard working hour, r is project achievement rate, s isi' is a normalized value of the sales value, vi' normalized value of strategic Attribute score, ti' is a normalized value of standard man-hour, ri' is a normalized value of the project achievement rate.
The entropy value subunit carries out entropy value processing on the normalization value of the project parameter, the normalization value of the standard working hours and the normalization value of the project achievement rate to obtain the entropy value of the project parameter, the entropy value of the standard working hours and the entropy value of the project achievement rate.
It should be noted that, in order to avoid meaningless numerical values in subsequent calculations, the calculation needs to be performed after uniformly adding 0.001 to the result after the last normalization processing, so as to obtain the proportion of the ith vehicle type in each index, which is specifically represented by the following formula (ii):
Figure BDA0003037438640000181
wherein the content of the first and second substances,
Figure BDA0003037438640000182
the model is the proportion of the ith vehicle type in the standard work hour index,
Figure BDA0003037438640000183
the proportion of the ith vehicle type in the strategic attribute score index is,
Figure BDA0003037438640000184
the model is the proportion of the ith vehicle type in the standard work hour index,
Figure BDA0003037438640000185
the model is the proportion of the ith vehicle model in the project achievement rate index, and m is m samples including m vehicle models participating in performance evaluation.
It can be understood that, the entropy subunit calculates entropy of each index under calculation of each index according to the normalization value of the marketing value, the normalization value of the strategic attribute score, the normalization value of the standard labor hour and the normalization value of the project achievement rate, so as to obtain the entropy of the marketing value, the entropy of the strategic attribute score, the entropy of the standard labor hour and the entropy of the project achievement rate, which are specifically expressed by the following formula (three):
Figure BDA0003037438640000186
wherein e issEntropy, e, of the magnitude of the pinνEntropy value, e, scoring strategic attributestEntropy of standard man-hours, erEntropy values for project achievement rates.
The entropy weighting subunit performs entropy weighting processing on the entropy of the project parameter, the entropy of the standard man-hour and the entropy of the project achievement rate to obtain the entropy weighting of the project parameter, the entropy weighting of the standard man-hour and the entropy weighting of the project achievement rate.
It should be understood that, the entropy weighting subunit calculates the entropy weights of the indexes according to the entropy of the sales value, the entropy of the strategic attribute score, the entropy of the standard labor hour, and the entropy of the project achievement rate, so as to obtain the entropy weight of the sales value, the entropy weight of the strategic attribute score, the entropy weight of the standard labor hour, and the entropy weight of the project achievement rate, which are specifically expressed by the following formula (iv):
Figure BDA0003037438640000191
wherein, ewsEntropy weights, ew, which are measure valuesνEntropy weight, ew, scored for strategic attributestEntropy weight of standard man-hours, ewrEntropy weights for term achievement rates.
And the target weight subunit performs weight processing on the entropy weight of the project parameter, the entropy weight of the standard working hours and the entropy weight of the project achievement rate to obtain the target weight of the project parameter, the target weight of the standard working hours and the target weight of the project achievement rate.
It is understood that the target weight subunit obtains the target weight of the sales value, the target weight of the strategic attribute score, the target weight of the standard work hours, and the target weight of the project achievement rate by calculating the final weight of each index for the entropy weight of the sales value, the entropy weight of the strategic attribute score, the entropy weight of the standard work hours, and the entropy weight of the project achievement rate, and the subjective weight of the sales value, the subjective weight of the strategic attribute score, the subjective weight of the standard work hours, and the subjective weight of the project achievement rate.
Furthermore, the entropy weight of the project achievement rate and the subjective weight of the sales value, the subjective weight of the strategic attribute score, the subjective weight of the standard work hour and the subjective weight of the project achievement rate are that the opinions of experts are collected for each index, the index weight assignment of each expert is calculated respectively, finally, the arithmetic mean of the weight assignments of all the experts is taken as the subjective weight of the index, in the implementation process, n experts are provided for participating in the evaluation, the jth expert gives the sales value the weight of which is
Figure BDA0003037438640000192
The jth expert weights the strategic attribute score by
Figure BDA0003037438640000193
The jth expert gives a weight to the standard work hours of
Figure BDA0003037438640000194
The j-th expert gives a weight to the project achievement rate of
Figure BDA0003037438640000195
Then the subjective weight is calculated as the following equation (five):
Figure BDA0003037438640000201
wherein, pwsIs the subjective weight of the magnitude of the pin, pwνSubjective weighting, pw, for scoring strategic attributestIs the subjective weight of the standard man-hour, pwrSubjective weighting of project achievement rate.
Further, the target weight is calculated by the following formula (six):
Figure BDA0003037438640000202
wherein, wsTarget weight, w, for the magnitude of the pinνTarget weight, w, for scoring strategic attributestTarget weight for standard man-hour, wrTarget weight of project achievement rate.
And the performance evaluation point subunit performs performance evaluation on the target weight of the project parameter, the target weight of the standard working hours and the target weight of the project achievement rate to obtain a performance evaluation point.
It can be understood that the performance evaluation point subunit calculates the final performance evaluation point for each vehicle type by using the target weight of the sales value, the target weight of the strategic attribute score, the target weight of the standard labor hour, and the target weight of the project achievement rate, and calculates the following formula (seven):
pi＝ws·si'+wν·νi'+wt·ti'+wr·ri'; formula (seven)
Wherein p isiAnd evaluating points for final performance.
And the performance incentive rate subunit acquires a performance incentive total rate and determines the performance incentive rate according to the performance evaluation points and the performance incentive total rate.
It is to be understood that the performance incentive total amount may be a value given by those skilled in the art, and may be represented by M in the specific implementation process, and the performance incentive amount subunit calculates the performance incentive amount according to the performance incentive total amount and the performance evaluation point technology, as shown in the following formula (eight):
Figure BDA0003037438640000211
wherein M isiIs the performance incentive.
Further, the project performance evaluation module further comprises: an interactive interface unit, after step S201, further comprising:
and the interactive interface unit is used for carrying out interface display on the project parameters, the standard working hours, the project achievement rate and the performance incentive amount.
It can be understood that the interactive interface unit is responsible for performance interface management, inputs evaluation parameters such as sales value, strategic attribute score, standard working hours and project achievement rate, and displays and outputs performance evaluation result display.
In the embodiment, evaluation parameters such as a sales value, strategic attribute score, standard working hours and project achievement rate are input into a project performance evaluation module through project information, the project performance evaluation module arranges vehicle type data included in performance evaluation, objective weights are measured and calculated through a performance analysis unit, subjective and objective comprehensive weights are finally obtained through weighting by combining experts, then, the data are normalized and weighted to obtain project performance evaluation points, then, related points can be used for decomposing vehicle type project incentive amounts, and then performance incentive amounts are decomposed to individuals by technicians in the field, so that the performance evaluation points obtained through single projects are further improved, and the accuracy of project performance distribution is guided.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A project performance analysis system, the project performance analysis system comprising: the project performance evaluation module is used for evaluating the performance of the project;
the project data module is used for acquiring vehicle type project performance analysis data and sending the vehicle type project performance analysis data to the project performance evaluation module;
and the project performance evaluation module is used for performing performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data and obtaining a performance incentive amount according to the performance evaluation points and the total performance incentive amount.
2. The project performance analysis system of claim 1, wherein the project data module comprises: a project information unit, a standard man-hour database unit and a project achievement management unit; wherein the content of the first and second substances,
the project information unit is used for acquiring project parameters of vehicle type project performance analysis data and sending the project parameters to the project performance evaluation module;
the standard working hour database unit is used for acquiring standard working hours of vehicle type project performance analysis data and sending the standard working hours to the project performance evaluation module;
the project achievement management unit is used for acquiring a project achievement rate of vehicle model project performance analysis data and sending the project achievement rate to the project performance evaluation module;
the project performance evaluation module is also used for performing performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the performance incentive total.
3. The project performance analysis system of claim 2, wherein the project performance evaluation module comprises a data storage unit and a performance analysis unit; wherein the content of the first and second substances,
the data storage unit is used for storing the project parameters, the standard working hours and the project achievement rate;
and the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive amount.
4. The project performance analysis system of claim 3, wherein the performance analysis unit comprises: the system comprises a normalization processing subunit, an entropy value subunit, an entropy weight subunit, a target weight subunit, a performance evaluation point subunit and a performance incentive subunit; wherein the content of the first and second substances,
the normalization processing subunit is configured to perform normalization processing on the project parameters, the standard labor hours, and the project achievement rates in the data storage unit to obtain normalized values of the project parameters, the standard labor hours, and the project achievement rates;
the entropy value subunit is configured to perform entropy value processing on the normalization value of the project parameter, the normalization value of the standard labor hour, and the normalization value of the project achievement rate to obtain an entropy value of the project parameter, an entropy value of the standard labor hour, and an entropy value of the project achievement rate;
the entropy weight subunit is configured to perform entropy weight processing on the entropy values of the project parameters, the standard labor hour and the project achievement rate to obtain entropy weights of the project parameters, the standard labor hour and the project achievement rate;
the target weight subunit is configured to perform weight processing on the entropy weight of the project parameter, the entropy weight of the standard labor hour, and the entropy weight of the project achievement rate to obtain a target weight of the project parameter, a target weight of the standard labor hour, and a target weight of the project achievement rate;
the performance evaluation point subunit is used for performing performance evaluation on the target weight of the project parameters, the target weight of the standard working hours and the target weight of the project achievement rate to obtain performance evaluation points;
and the performance incentive rate subunit is used for acquiring a performance incentive total rate and determining the performance incentive rate according to the performance evaluation points and the performance incentive total rate.
5. The project performance analysis system of claim 2, wherein the project performance evaluation module further comprises: an interactive interface unit; wherein the content of the first and second substances,
and the interactive interface unit is used for carrying out interface display on the project parameters, the standard working hours, the project achievement rate and the performance incentive rates.
6. A project performance analysis method applied to the project performance analysis system according to any one of claims 1 to 5, wherein the project performance analysis system comprises a project data module and a project performance evaluation module, and the project performance analysis method comprises the following steps:
the project data module acquires vehicle type project performance analysis data and sends the vehicle type project performance analysis data to the project performance evaluation module;
and the project performance evaluation module carries out performance evaluation on the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount.
7. The project performance analysis method of claim 6, wherein said project data module comprises: a project information unit, a standard man-hour database unit and a project achievement management unit;
the acquiring vehicle type project performance analysis data and sending the vehicle type project performance analysis data to the project performance evaluation module comprises the following steps:
the project information unit acquires project parameters of vehicle type project performance analysis data and sends the project parameters to the project performance evaluation module;
the standard working hour database unit acquires standard working hours of vehicle type project performance analysis data and sends the standard working hours to the project performance evaluation module;
the project achievement management unit acquires a project achievement rate of vehicle type project performance analysis data and sends the project achievement rate to the project performance evaluation module;
further, the performance evaluation module of the project evaluates the performance of the project performance analysis data to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive amount according to the performance evaluation points and the performance incentive total amount, including:
and the project performance evaluation module carries out performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtains a performance incentive sum according to the performance evaluation points and the performance incentive sum.
8. The project performance analysis method of claim 7, wherein the project performance evaluation module comprises a data storage unit and a performance analysis unit;
the project performance evaluation module carries out performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and obtains performance incentive points according to the performance evaluation points and the performance incentive total amount, and the project performance evaluation module comprises:
the data storage unit is used for storing the project parameters, the standard working hours and the project achievement rate;
the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive sum.
9. The project performance analysis method of claim 8, wherein the performance analysis unit comprises: the system comprises a normalization processing subunit, an entropy value subunit, an entropy weight subunit, a target weight subunit, a performance evaluation point subunit and a performance incentive subunit;
the performance analysis unit is used for evaluating the performance of the project parameters, the standard working hours and the project achievement rate in the data storage unit to obtain performance evaluation points corresponding to the project performance analysis data, and obtaining performance incentive points according to the performance evaluation points and the total performance incentive sum, and comprises the following steps:
the normalization processing subunit performs normalization processing on the project parameters, the standard man-hours and the project achievement rates in the data storage unit to obtain normalized values of the project parameters, the standard man-hours and the project achievement rates;
the entropy value subunit carries out entropy value processing on the normalization value of the project parameter, the normalization value of the standard working hour and the normalization value of the project achievement rate to obtain an entropy value of the project parameter, an entropy value of the standard working hour and an entropy value of the project achievement rate;
the entropy weighting subunit performs entropy weighting processing on the entropy of the project parameter, the entropy of the standard man-hour and the entropy of the project achievement rate to obtain the entropy weighting of the project parameter, the entropy weighting of the standard man-hour and the entropy weighting of the project achievement rate;
the target weight subunit performs weight processing on the entropy weight of the project parameter, the entropy weight of the standard man-hour and the entropy weight of the project achievement rate to obtain the target weight of the project parameter, the target weight of the standard man-hour and the target weight of the project achievement rate;
the performance evaluation point subunit performs performance evaluation on the target weight of the project parameter, the target weight of the standard working hours and the target weight of the project achievement rate to obtain a performance evaluation point;
and the performance incentive rate subunit acquires a performance incentive total rate and determines the performance incentive rate according to the performance evaluation points and the performance incentive total rate.
10. The project performance analysis method of claim 7, wherein the project performance evaluation module further comprises: an interactive interface unit;
the performance analysis unit is used for performing performance evaluation on the project parameters, the standard working hours and the project achievement rate to obtain performance evaluation points corresponding to the project performance analysis data, and after obtaining performance incentive points according to the performance evaluation points and the performance incentive total amount, the performance analysis unit further comprises:
and the interactive interface unit is used for carrying out interface display on the project parameters, the standard working hours, the project achievement rate and the performance incentive amount.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113657850A (en) * 2021-07-29 2021-11-16 东风柳州汽车有限公司 Method, device, equipment and storage medium for determining design man-hour of automobile subsystem

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113657850A (en) * 2021-07-29 2021-11-16 东风柳州汽车有限公司 Method, device, equipment and storage medium for determining design man-hour of automobile subsystem
CN113657850B (en) * 2021-07-29 2024-03-29 东风柳州汽车有限公司 Method, device, equipment and storage medium for determining design man-hour of automobile subsystem

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