CN112712301A - Performance management and assessment system based on big data and mathematical model - Google Patents
Performance management and assessment system based on big data and mathematical model Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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Abstract
The invention discloses a performance management and assessment system based on big data and a mathematical model, which comprises a work task allocation module, a performance index generation module, a performance assessment model construction module, a work task completion progress tracking module, a work task allocation module and a performance assessment module; the performance index generating module generates corresponding performance assessment indexes and reward punishment rules corresponding to each performance assessment index based on the post information of the workers, the historical performance completion condition data and the current to-be-completed work task data; and the work task allocation module allocates the current work task to be completed according to the completion of the received work task, and simultaneously starts the performance index generation module and the performance assessment model construction module to update the performance assessment model. The invention can realize the automatic accounting of the performance of each worker in the preset time period, and simultaneously can give full play to the personal working capacity as far as possible and stimulate the working enthusiasm of each worker.
Description
Technical Field
The invention relates to the field of enterprise management, in particular to a performance management and assessment system based on big data and a mathematical model.
Background
With the rapid popularization and further development of networks, information and science and technology, China gradually enters a new knowledge economy era, market competition becomes more intense and deepened, in such a nervous atmosphere, if enterprises occupy a stable market position, sufficient attention must be paid to performance assessment, excellent performance assessment can have important positive influence on the operation management system and strategic decision of the enterprises, and the enterprises can be greatly promoted to realize long-term stable development.
At present, the level of overall performance assessment of enterprises in various industries in China is low, the understanding of a plurality of enterprises on performance assessment is still in the basic level of performance assessment of daily work and the like, the understanding and analysis of the working capacity and conditions of workers in all aspects cannot be comprehensively realized, the process of the performance assessment has great blindness, the enthusiasm of the workers cannot be really mobilized, the initiative, the active, the serious and the innovation are not facilitated, the working enthusiasm and the creativity of the workers cannot be brought into play, so that the powerful force for promoting the continuous healthy development of the enterprises cannot be excavated, and the real development cannot be realized.
Disclosure of Invention
In order to solve the problems, the invention provides a performance management and assessment system based on big data and a mathematical model, which can fully exert the personal working capacity as much as possible and stimulate the working enthusiasm of each worker while realizing the automatic accounting of the performance of each worker in a preset time period.
In order to achieve the purpose, the invention adopts the technical scheme that:
a performance management assessment system based on big data and mathematical models, comprising:
the work task allocation module is used for realizing the allocation of work tasks based on historical work task completion data;
the performance index generating module is used for generating corresponding performance assessment indexes and reward/punishment rules corresponding to completion/incompletion of each performance assessment index based on the post information of the workers, the historical performance completion condition data and the current to-be-completed work task data;
the performance assessment model construction module is used for constructing a performance assessment model corresponding to each worker based on the assessment indexes and reward/punishment rules corresponding to completion/incompletion of each performance assessment index;
the work task completion progress tracking module is used for tracking the completion progress of the work tasks of the workers and feeding back the tracked result to the work task allocation module in a once-every-week feedback mode;
the work task allocation module is used for allocating the current work task to be completed according to the completion of the received work task, and meanwhile, the performance index generation module and the performance assessment model construction module are started to update the performance assessment model;
and the performance assessment module is used for realizing performance assessment of each worker within a preset time period based on the performance assessment model and the work task completion condition data.
Furthermore, the work task allocation module firstly realizes the mining of the work task completion data of each worker based on the data mining module, then analyzes the work task completion data of each worker, obtains the adequacy items of each worker and the monthly completion indexes, and realizes the allocation of the work tasks in a mode of more workers.
Furthermore, different worker post information corresponds to different performance index generation rules and different performance reward and punishment rules.
Furthermore, the work task completion progress tracking module performs accounting on the current staff task completion progress according to the uploaded task completion data, and feeds back an accounting result to the work task allocation module in a once-every-week feedback mode.
Furthermore, the work task allocation module allocates the current work tasks to be completed in a mode of more duties according to the received week work task completion data, so that the team cooperation value is maximized, the performance index generation module is started to generate new performance assessment indexes and corresponding performance reward and punishment rules, and the performance assessment model construction module is started to update the performance assessment model.
Furthermore, the performance assessment module runs the performance assessment model at regular time based on Hadoop, and achieves performance assessment of each worker within a preset time period according to corresponding work task completion condition data.
Furthermore, the performance assessment model adopts a Bi-LSTM + Attention model.
Further, still include:
and the performance examination table generating module is used for generating the performance examination table within the preset time period of each employee by using a preset template.
The invention has the following beneficial effects:
1) the automatic accounting of the performance of each worker in the preset time period can be realized, and the workload of managers is greatly reduced.
2) Based on the historical working condition data of each worker, the work task distribution and the configuration of the performance assessment model and the performance reward and punishment system are carried out, so that the performance assessment is targeted, the personal working capacity can be fully exerted as much as possible, and the working enthusiasm of each worker is stimulated.
3) And the maximization of the team cooperation value is realized through a mode of work task tracking and dynamic allocation.
Drawings
Fig. 1 is a system block diagram of a performance management assessment system based on big data and mathematical models according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a performance management assessment system based on big data and mathematical models, including:
the registration login module is used for realizing the registration login of an administrator;
the work task allocation module is used for realizing the allocation of work tasks based on historical work task completion data;
the performance index generating module is used for generating corresponding performance assessment indexes and reward/punishment rules corresponding to completion/incompletion of each performance assessment index based on the post information of the workers, the historical performance completion condition data and the current to-be-completed work task data;
the performance assessment model construction module is used for constructing a performance assessment model corresponding to each worker based on the assessment indexes and reward/punishment rules corresponding to completion/incompletion of each performance assessment index;
the work task completion progress tracking module is used for tracking the completion progress of the work tasks of the workers and feeding back the tracked result to the work task allocation module in a once-every-week feedback mode;
the work task allocation module is used for allocating the current work task to be completed according to the completion of the received work task, and meanwhile, the performance index generation module and the performance assessment model construction module are started to update the performance assessment model;
the performance assessment module is used for achieving performance assessment of each worker within a preset time period based on the performance assessment model and the work task completion condition data;
the performance examination table generating module is used for generating the performance examination table within the preset time period of each employee by using a preset template;
and the central processing module is used for coordinating the work of the modules.
In this embodiment, the work task allocation module first mines the work task completion data of each worker based on the data mining module, and then analyzes the work task completion data of each worker to obtain the excellence items of each worker and the monthly completion index, so as to realize the allocation of work tasks in a mode of more people. And each worker uploads the work task completion data every day in a task progress single filling mode through the WeChat applet, and internally loads the work task completion progress, the to-be-completed work task, the corresponding performance assessment index and the corresponding performance reward and punishment rule viewing function.
In this embodiment, different worker post information corresponds to different performance index generation rules and different performance reward and punishment rules, and a stepped reward and punishment rule is adopted, so that the more the work task is completed, the higher the corresponding reward standard is, and the lower the punishment system is.
In this embodiment, the work task completion progress tracking module performs accounting on the current task completion progress of each employee according to the uploaded task completion data, and feeds back an accounting result to the work task allocation module in a once-every-week feedback mode.
In this embodiment, the work task allocation module allocates the current work tasks to be completed in a mode of more duties according to the received weekly work task completion data, so as to maximize team cooperation value, and simultaneously, the performance index generation module is started to generate a new performance assessment index and a corresponding performance reward and punishment rule, and the performance assessment model construction module is started to update the performance assessment model.
In this embodiment, the performance assessment module runs the performance assessment model at regular time based on Hadoop, and achieves performance assessment within a preset time period of each worker according to corresponding work task completion condition data.
In this embodiment, the performance assessment model adopts a Bi-LSTM + Attention model.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. A performance management assessment system based on big data and mathematical models, comprising:
the work task allocation module is used for realizing the allocation of work tasks based on historical work task completion data;
the performance index generating module is used for generating corresponding performance assessment indexes and reward/punishment rules corresponding to completion/incompletion of each performance assessment index based on the post information of the workers, the historical performance completion condition data and the current to-be-completed work task data;
the performance assessment model construction module is used for constructing a performance assessment model corresponding to each worker based on the assessment indexes and reward/punishment rules corresponding to completion/incompletion of each performance assessment index;
the work task completion progress tracking module is used for tracking the completion progress of the work tasks of the workers and feeding back the tracked result to the work task allocation module in a once-every-week feedback mode;
the work task allocation module is used for allocating the current work task to be completed according to the completion of the received work task, and meanwhile, the performance index generation module and the performance assessment model construction module are started to update the performance assessment model;
and the performance assessment module is used for realizing performance assessment of each worker within a preset time period based on the performance assessment model and the work task completion condition data.
2. The performance management assessment system based on big data and mathematical models as claimed in claim 1, wherein said work task allocation module first implements mining of work task completion data of each worker based on the data mining module, then performs analysis of the work task completion data of each worker, obtains the adequacy item and monthly achievable index of each worker, and implements allocation of work tasks in a mode of more effort by the workers.
3. The performance management and assessment system based on big data and mathematical models as claimed in claim 1, wherein different worker position information corresponds to different performance index generation rules and different performance reward and punishment rules.
4. The performance management assessment system based on big data and mathematical models as claimed in claim 1, wherein said work task completion progress tracking module performs accounting of the current staff task completion progress according to the uploaded task completion data, and feeds back the result of accounting to the work task deployment module in a weekly feedback mode.
5. The performance management and assessment system based on big data and mathematical models as claimed in claim 1, wherein the work task deployment module deploys the current work task to be completed in a mode of more effort of an enabler according to the received weekly work task completion data, and simultaneously starts the performance index generation module to generate a new performance assessment index and a corresponding performance reward and punishment rule, and simultaneously starts the performance assessment model construction module to update the performance assessment model.
6. The performance management and assessment system based on big data and mathematical models as claimed in claim 1, wherein said performance assessment module operates said performance assessment model at regular time based on Hadoop, and implements performance assessment within a preset time period for each worker according to corresponding work task completion data.
7. The big-data and math model-based performance management assessment system of claim 1, wherein said performance assessment model employs a Bi-LSTM + Attention model.
8. The big-data and math-model-based performance management assessment system of claim 1, further comprising:
and the performance examination table generating module is used for generating the performance examination table within the preset time period of each employee by using a preset template.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113469547A (en) * | 2021-07-13 | 2021-10-01 | 上海齐屹信息科技有限公司 | Intelligent KPI (Key Performance indicator) assessment and reward distribution system and method based on big data |
| CN113487152A (en) * | 2021-06-25 | 2021-10-08 | 国网山东省电力公司济宁市任城区供电公司 | Performance assessment method and system based on substation operation and maintenance duty recording system |
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Patent Citations (4)
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| CN107330630A (en) * | 2017-07-07 | 2017-11-07 | 山东浪潮云服务信息科技有限公司 | A kind of on-line examination system based on government's big data sharing application platform |
| CN109961234A (en) * | 2019-03-29 | 2019-07-02 | 西安航空职业技术学院 | A kind of intelligence performance management service system and its working method |
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| CN113469547A (en) * | 2021-07-13 | 2021-10-01 | 上海齐屹信息科技有限公司 | Intelligent KPI (Key Performance indicator) assessment and reward distribution system and method based on big data |
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