CN111652514A - Performance management and assessment system constructed based on big work data and mathematical model - Google Patents
Performance management and assessment system constructed based on big work data and mathematical model Download PDFInfo
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Abstract
The application belongs to the field of work data processing and analysis, and particularly relates to a performance management and assessment system constructed based on big work data and a mathematical model, which comprises a work index definition module, a work process management module, a performance generation module, a performance decision analysis module and a performance personnel application module.
Description
Technical Field
The application belongs to the field of work data processing and analysis, and particularly relates to a performance management and assessment system constructed based on work big data and a mathematical model.
Background
The practice and theory of performance evaluation in China are still in a groping stage, and a systematic, standard, scientific and complete evaluation system is lacked. The existing performance assessment systems are more, and the most common performance assessment systems comprise a target assessment system and a post assessment system. The appearance of target assessment and post assessment plays a certain role in promoting the government to perform the job of stepping on every department and personnel, but also has some problems. These assessment systems have some problems: the work except post examination and target examination cannot be examined, the working capacity and the situation of the personnel in various aspects cannot be comprehensively understood and analyzed, and the working advantages and the disadvantages of the personnel cannot be understood and analyzed. Therefore, the assessed staff is not concerned about the workplace and the working desert outside the working target, the staff is in the passive and managed working state, the enthusiasm of the staff cannot be really mobilized, the initiative, the earnest and the innovation of the staff are not facilitated, and the working enthusiasm and the creativity of the staff cannot be brought into play.
For example, the existing patent application is an invention patent with application number 201910975718.5 and named as a performance analysis management method based on big data frame, and the technical scheme is as follows: the invention relates to the technical field of performance analysis management methods, and discloses a performance analysis management method based on a big data frame, which comprises an examination and verification table, wherein the examination and verification table is issued to perform performance assessment on employees, the employees are examined and verified by a supervisor after being filled in automatically, the supervisor signs and confirms after the examination and verification are completed and collects all the examination and verification tables and inputs the examination and verification tables into a database, the database calculates the average score of the performance assessment, the employees are divided into A, B, C, D grades according to the difference between the individual score and the average score, meanwhile, a system automatically generates an individual score fluctuation curve of the employees, and the shortcomings of the individual employees are found out through the analysis and comparison of the individual score and the big data score. Although the above patent is an improvement on the performance management method, the method cannot assess the working condition of the personnel beyond the post and beyond the working target.
Disclosure of Invention
In order to overcome the problems in the prior art, the performance management and assessment system constructed based on the big work data and the mathematical model is particularly provided, which can objectively assess the working conditions of the assessment personnel outside the post and the working target and further mobilize the working enthusiasm of the assessment personnel.
In order to achieve the technical effects, the technical scheme of the application is as follows:
a performance management assessment system constructed based on big work data and a mathematical model comprises: the system comprises a work index definition module, a work process management module, a performance score generation module, a performance decision analysis module and a performance personnel application module, wherein the work index definition module, the work process management module, the performance score generation module, the performance decision analysis module and the performance personnel application module are arranged in the work process management module
The work index definition module: decomposing the work target of the unit into the work index of the worker, distributing each work in the unit year to the worker as the work index, and transmitting the content to the work process management module;
the working index records the working basic information of the index such as the working property, classification, weight, content, staff, managers, time requirements, quality requirements, target requirements and the like, and the accuracy of the parameter information determines the accuracy of final performance assessment. The appraisal is judged according to the execution results of the parameters, so that the work index definition module is the most basic link and the most important link in the performance management, the first-level (unit), second-level (department) and third-level (individual) work indexes of the work indexes are formulated scientifically, and the standard index parameters are formulated as the most important link.
The working process management module: receiving information of a work index definition module, and in the whole performance period, monitoring the completion condition of a work index in the whole process to help workers solve various problems possibly occurring in the performance period and better help the workers to complete work plans; the working process management upper-link working index definition module and the lower-link performance generation module are links with the longest duration, and record the conditions of completion time, completion quality, work cooperation and the like of working indexes of workers. And providing key data for performance appraisal such as working on time, according to quality, cooperation and the like. And transmits the data to the performance achievement generation module.
A performance achievement generation module: the system comprises a work process management module, a performance decision analysis module and a performance decision analysis module, wherein the work process management module is used for receiving information of the work process management module, performing statistical analysis on generated data, and mainly has the main functions of generating work weight scores of workers according to a related data model calculation method, generating work time weight scores, generating work quality weight scores, generating work adaptability weight scores and work completion condition scores, adjusting the proportion of related weights in comprehensive performance assessment (assessment data models of units) according to the work actual conditions of the units, finally generating comprehensive performance scores and comprehensive ranking of the workers, and transmitting the data to the performance decision analysis module;
a performance decision analysis module: receiving the data of the performance score generation module, analyzing the data, and transmitting the analysis result to the performance personnel application module;
specifically, according to the work record condition of the worker, the worker is analyzed to what the worker does, and what the work does is done, among the works, the work of the types and the properties is good, the work of the types and the properties is not good, the important work is done, the creative work is done, the work is shown by the superior department or unit, the work is completed, the work is not completed, the work of the weight type is good, the work is done generally, and the target task completion condition evidence on the post and the like are used for decision analysis.
A performance personnel operation module: and receiving data of the performance decision analysis module, and carrying out related adjustment on the fitness of the personnel posts according to the comprehensive ranking and the performance analysis result of the unit, wherein the proportion of the comprehensive ranking before can be used for providing personnel application reference for promotion consideration, post consideration and the like.
Furthermore, the work index definition module comprises a unit target definition module, a unit work index definition module, a department work index definition module, a personal work index module and a work index distribution module;
wherein the unit object definition module: the system is used for formulating the working target of the annual unit, wherein the working target comprises but is not limited to the working content of the unit, the importance of the divided work is realized, and the responsibility target of the unit is uniformly analyzed to form the annual working target of the unit;
unit work index definition module: decomposing the annual work target of the unit, including but not limited to work content, time requirement and quality requirement which need to be done around the annual work target, and recording the work;
department work index definition module: specifying a specific department for which the unit work index is completed, and decomposing the unit work index into the departments to form a department work index;
the personal work index definition module is used for decomposing the work indexes of the department into the individuals to bear work specifically by the department so as to form personal work indexes; the personal work indexes comprise but are not limited to index numbers, work contents, work departments, workers, work types, work quality requirements, work time requirements, work weights, work properties, branch management department leaders and branch management unit leaders;
the work index distribution module: and distributing the relevant parameters of the personal working index to specific workers.
The annual work plan indexes of units formulated in the last year and the beginning of the year are divided into relevant departments to formulate department work plan indexes, the department work plans are implemented on the heads of people to form personal early-year work indexes, the work indexes arranged by leading and other departments in the year form personal annual work indexes, and the work indexes are established on the basis of work targets and work posts, so that the method is suitable for the current popular target assessment method and is also suitable for post assessment methods. The method is also suitable for assessment under conditions and requirements of different working property types and the like, and the working performance of an individual is comprehensively analyzed based on the working big data.
Furthermore, the working process management module comprises a checking working index module, an evaluation working index module and a commonality index evaluation module;
wherein, the auditing work index module: the method is used for the relevant leaders of the units to audit the indexes of the completed work tasks submitted by the workers, wherein the specific audit content comprises but is not limited to whether the work tasks are completed or not and whether the work tasks are completed on time or not;
an evaluation work index module: the leaders evaluate the quality of the work index tasks completed by the workers; the evaluation can be classified as excellent, good, neutral and failed.
The common work index evaluation module: the evaluation mode of the related work indexes finished by multiple departments or multiple persons in a unit together is that a scoring parameter is established from the beginning of the year, and the excellent, good and neutral finishing time is separately reported according to the finishing condition, so that the positive promotion of the work of the unit is facilitated.
The personal work tutoring module: and returning to the staff to finish related work according to the quality requirement of the index and providing work method guidance for the unqualified work index evaluated in the work index evaluation module.
Furthermore, the performance score generation module comprises a personal weight calculation module, a personal score generation module, a department score generation module and a weight mathematical model deduction module;
wherein the personal weight calculation module: calculating various weights of the work indexes completed by the workers and the work matching degree weight of the workers, calculating the work completion condition score of each worker, the weight coefficient score of the completed work, the quality weight coefficient value score of the completed work, the work time weight coefficient score of the completed work and the work matching degree weight coefficient score;
the personal achievement generation module: according to the calculation result of the weight calculation module, calculating the personal comprehensive achievement under the condition of personal weight;
department score generation module: taking the average value added according to the personal comprehensive scores of each worker in the department as the comprehensive score of the work of the department;
a weight mathematical model deduction module: and allocating the proportion of the coefficients related to the weights to the examination, and making the proportion of the related weight coefficients which meet the examination requirements of units.
Furthermore, the performance decision analysis module comprises a personal statistic analysis module, a department statistic analysis module and a personnel decision analysis module.
Wherein the personal statistics analysis module: carrying out statistical analysis according to the nature and type of personal work and various personal work weights, and analyzing the personal work completion condition; the completion conditions of various work types and work properties of the individual year or the cross-year can be analyzed, including the conditions of the work quality, the work time quantity, the work weight and the like. The method can analyze the work of the individual with good performance and little burden, and can count and analyze the conditions of various work of the individual.
A department statistical analysis module: according to the overall work of individuals in the department, analyzing but not limited to the work load of the department, the work condition of the department, the relation between the hands of the department and the work time quantity and the related work condition of the department over the years;
personnel decision analysis module: according to the requirements of personnel, ranking is obtained through statistical analysis of personnel with higher related working quality all the year round according to the data of posts, working properties, types and the like of the personnel, and related talents required by the personnel are obtained; analyzing the demand condition of a department for workers; the cadres are preferably reserved according to the relative ranking, and workers are encouraged to work hard, work seriously and innovate.
Furthermore, the performance personnel application module comprises a personal decision application report module, a department decision application report module and a personnel decision analysis report module;
wherein the personal decision application reporting module: the system is used for forming the annual working conditions into personal reports of workers, forming a comparison table according to the annual working conditions and analyzing the growth records of the annual work of the workers;
department decision application reporting module: the system is used for forming a report of department work according to the annual work conditions of the department, forming a comparison table according to the annual work conditions of the department, and analyzing the record condition and the comparison of the annual work of the department;
personnel decision analysis report module: and analyzing the working characteristics and characteristics of corresponding personnel according to personnel needs to form corresponding reports.
The scheme is that the work indexes are divided into a plurality of grades according to the work difficulty and the work importance, the work time weight is formed according to the number of the work time (quantity) completed by individuals and the average work time ratio completed by a unit, the work quality weight is formed according to the acceptance obtained by the work and the acceptance obtained by the average individuals of the unit, and the work matching degree index is formed through coordination and evaluation according to whether the work is completed on time and whether the work is completed. The indexes carry out statistical analysis on the working conditions of all aspects of the individual through the working properties and the working classifications to form an individual working condition report, the individual working indexes are gathered to departments to form a department working condition report, and the individual working ranking and the department working ranking are formed according to the conditions.
The performance score generation module calculates the related scores of the personal work by using a multi-dimensional digital model, and forms a method and a system for performance management and assessment elements based on the work difficulty degree and the work importance as a weight (personal work weight for short), a personal work time weight, a personal work quality weight, a work completion degree (basic score), a work property, a work classification and a work cooperation degree;
the personal work weight score is obtained by ranking the work weight score of the individual relative to the unit, corresponding assignment is carried out according to the ranking, the personal ranking is calculated according to a scientific statistical analysis principle, and the work time (quantity) weight and the work quality weight are calculated by the ranking method. The work completion degree and the work matching index are functions of the performance grade generation module, the work completion degree is used as a calculation base number according to whether the work indexes of the year are completely completed in time, and a specific algorithm is in the formula. All the operating index parameters are generated in the process of index definition and process management.
Furthermore, the personal achievement generating module comprises a work completion degree J, a work weight coefficient G, a work time weight coefficient S, a work quality weight coefficient Q, a work matching degree and special deduction management which are all generated in the personal achievement generating module, and a relevant work weight ranking and coefficient are formed by utilizing the work records of the individual and relevant parameters of the work indexes.
The calculation mode of the personal comprehensive ranking score Z is as follows: z is personal basic score (job completion degree) J personal job weight G personal job time weight S personal job quality weight Q job match degree (this parameter is used in the unit group where the cooperation of department and staff is highly required, and is not used in general)
Wherein the basic score adopts 100 grades, the work of the staff is completed 100 grades on time, and other basic score calculation modes are as follows: j individual base score is 100 × (1- (incomplete job (time or number)/total job (time or number) + not working on time (time or number)/2 (ratio can be adjusted according to actual conditions)/total job (time or number)));
if the staff completes the related work, the indexes of the work must be submitted to the leader for examination, the time for submitting the indexes is not the time for the staff to complete the work, if the time for submitting the indexes and the time required by the work indexes are late, the staff is considered to not complete the work indexes on time, and if the time for submitting the indexes and the time required by the work indexes are early, the staff is considered to complete on time. And if the data is not submitted at the end of the year, the data is regarded as an incomplete work index.
The personal work weight score is assigned according to the weight ranking, the personal work quality weight score is assigned according to the quality weight ranking, the personal work time weight score is assigned according to the work time ranking, the assignment range is generally [0.9, 1.1], and the personal work time weight score can be comprehensively adjusted according to the assessment angle which is valued by units, so that the aim of unit key assessment is fulfilled.
The personal work weight coefficient is calculated in the following way: first, ranking:
if the ranking here does not fully expand the ranking, followed by a ranking without the next highest weight of the ranking excluding the ranking,
looping until the end of the last ranking;
and step two, assignment: the difference of the assignment range, for example, if the assignment range is [0.9, 1.1], then its difference is 0.2, and 0.2 is divided by the total number of ranks in the unit personal rank, and G first is assigned to the maximum value of the interval range (where multiple people can rank the same) 1.1, then the value of the second is 1.1- (0.2 is divided by the total number of ranks in the unit rank), and the assignment is completed until the last G is 0.9.
The calculation method of the personal working time weight coefficient comprises the following steps:
and step two, assignment: for example, if the range of assignment is [0.9, 1.1] then its difference is 0.2, the total number of ranks in the individual rank is divided by 0.2, the first name is assigned to the maximum value of the range (where multiple people may rank the same) 1.1, the second name is assigned to 1.1- (the total number of ranks in the unit individual rank is divided by 0.2), and the assignment is completed until the last name S is 0.9.
The method for calculating the personal work quality weight coefficient comprises the following steps:
if the ranking here is not fully expanded by a rank,
looping until the end of the last ranking;
and step two, assignment: for example, if the range of values is [0.9, 1.1] then its difference is 0.2, and 0.2 is divided by the total number of ranks in the unit individual rank, the first name Q is assigned to the maximum value of the range of intervals (where multiple people can rank the same) 1.1, and the second name Q is 1.1- (0.2 is divided by the number of ranks) until the last name Q is assigned to 0.9.
The coefficient of the work matching degree is calculated according to the result of the mutual evaluation scores of the workers, the calculation mode is different according to different grades of evaluation score ratios, and finally the coefficient scores are combined to form the coefficient score.
The mutual evaluation scores are realized in the work process management, the evaluation is carried out among the department co-workers, the leaders and the subordinates, the subordinates and the leaders, the work matching degree is scored, and the evaluation average value of the ordinary staff is 25 percent, the evaluation average value of the department leaders is 35 percent and the evaluation value of the unit leaders is 40 percent.
The system is particularly applied to deduction management, and is used for correcting and assessing workers after comprehensive ranking score scores, a unit leader and deputy leaders correct system errors according to the ordinary performance of the workers, the workers can be evaluated and added within a certain authority range, the adding score value is within the range of the difference value between the highest score and the lowest score of the comprehensive ranking, and the principle adding score is not higher than 30% of the maximum adding score of the comprehensive ranking.
In order to adapt to different units, the proportion of the work weight, the work time weight, the work quality weight and the work matching degree in the comprehensive ranking is adjustable.
The application has the advantages that:
1. the performance management and assessment system can assess the performance of a unit or team workers scientifically according to different unit properties and working key requirements, and can classify and assess the performance according to different working properties of the unit workers, for example, the unit is divided into service types, management types, career types, technical types and the like, and can classify and assess the performance according to different working types. The system can not only solve the work performance assessment mode of target assessment, but also solve the work performance assessment mode of post assessment, comprehensively analyze the working condition and the growth track of workers, better analyze the work of the workers in the aspects longer than those, and the work in the aspects shorter than those, and assist the personnel strategy of the worker growth and personnel management reference.
2. The modules of the application adopt the assessment of the completion condition of the work of each worker in the year, the performance assessment of the work amount in one year, the assessment of the work quality condition in one year, the assessment of the work weight condition in one year (the work importance and the work difficulty), and the assessment of the work adaptability condition in one year on the basis of each work index task of the worker. The indexes are integrated, a big work data performance assessment mode is formed according to the classification and the working properties of the working indexes, and the condition that the assessed workers are indifferent to the work outside posts and the work target is avoided. The method is beneficial to exerting subjective initiative, actively acting and innovating work of workers and analyzing various characteristic features and characteristics of the workers. Through the digital model deduction of related parameters, the requirements of a relatively perfect performance evaluation and evaluation system required by a unit group and the like can be met.
3. The work difficulty degree and the importance weight (the work weight for short) solve the problem that workers choose to avoid the weight, the work time weight solves the problem of not working hard, the work quality weight solves the problem of not working seriously, the work completion degree solves the problems of not completing the related work tasks on time and not completing the related work tasks, and the work property, classification and work post solve the problem of a performance work division statistical analysis mode. The size of the weighted value intervals can be adjusted according to the needs of units, and the weighted value intervals are adjusted based on the size of the parameter value intervals, so that the weighted value intervals can be suitable for different evaluation modes of different units. The unit can amplify the weighted value interval of the unit on the basis of more attention to the work on that aspect, the weight ratio of the unit is increased, for example, the unit can be used for amplifying the weighted value interval of the work quality on the basis of more attention to the work quality, and can list the maximum weight and the next important weight according to the requirement of the unit on the work weight, for example, the work importance weight interval is [0.95, 1.05], the work time weight is [0.98, 1.02], the work quality weight interval is [0.9, 1.1], the assessment influence of the work quality on the work performance is greater than other weights, the work importance weight is greater than the work time weight requirement, and the work weight interval values can be comprehensively cross-combined to obtain various assessment modes meeting the unit requirements and required by different units.
Drawings
Fig. 1 is a schematic structural diagram of the module of the present application.
FIG. 2 is a diagram of how a worker works for many years.
FIG. 3 shows the comprehensive working conditions of the workers in a certain year.
Detailed Description
Example 1
A performance management assessment system constructed based on big work data and a mathematical model comprises: the system comprises a work index definition module, a work process management module, a performance score generation module, a performance decision analysis module and a performance personnel application module, wherein the work index definition module, the work process management module, the performance score generation module, the performance decision analysis module and the performance personnel application module are arranged in the work process management module
The work index definition module: decomposing the work target of the unit into the work index of the worker, distributing each work in the unit year to the worker as the work index, and transmitting the content to the work process management module;
the working index records the working basic information of the index such as the working property, classification, weight, content, staff, managers, time requirements, quality requirements, target requirements and the like, and the accuracy of the parameter information determines the accuracy of final performance assessment. The appraisal is judged according to the execution results of the parameters, so that the work index definition module is the most basic link and the most important link in the performance management, the first-level (unit), second-level (department) and third-level (individual) work indexes of the work indexes are formulated scientifically, and the standard index parameters are formulated as the most important link.
The working process management module: receiving information of a work index definition module, and in the whole performance period, monitoring the completion condition of a work index in the whole process to help workers solve various problems possibly occurring in the performance period and better help the workers to complete work plans; the working process management upper-link working index definition module and the lower-link performance generation module are links with the longest duration, and record the conditions of completion time, completion quality, work cooperation and the like of working indexes of workers. And providing key data for performance appraisal such as working on time, according to quality, cooperation and the like. And transmits the data to the performance achievement generation module.
A performance achievement generation module: the system comprises a work process management module, a performance decision analysis module and a performance decision analysis module, wherein the work process management module is used for receiving information of the work process management module, performing statistical analysis on generated data, and mainly has the main functions of generating work weight scores of workers according to a related data model calculation method, generating work time weight scores, generating work quality weight scores, generating work adaptability weight scores and work completion condition scores, adjusting the proportion of related weights in comprehensive performance assessment (assessment data models of units) according to the work actual conditions of the units, finally generating comprehensive performance scores and comprehensive ranking of the workers, and transmitting the data to the performance decision analysis module;
a performance decision analysis module: receiving the data of the performance score generation module, analyzing the data, and transmitting the analysis result to the performance personnel application module;
specifically, according to the work record condition of the worker, the worker is analyzed to what the worker does, and what the work does is done, among the works, the work of the types and the properties is good, the work of the types and the properties is not good, the important work is done, the creative work is done, the work is shown by the superior department or unit, the work is completed, the work is not completed, the work of the weight type is good, the work is done generally, and the target task completion condition evidence on the post and the like are used for decision analysis.
A performance personnel operation module: and receiving data of the performance decision analysis module, and carrying out related adjustment on the fitness of the personnel posts according to the comprehensive ranking and the performance analysis result of the unit, wherein the proportion of the comprehensive ranking before can be used for providing personnel application reference for promotion consideration, post consideration and the like.
Furthermore, the work index definition module comprises a unit target definition module, a unit work index definition module, a department work index definition module, a personal work index module and a work index distribution module;
wherein the unit object definition module: the system is used for formulating the working target of the annual unit, wherein the working target comprises but is not limited to the working content of the unit, the importance of the divided work is realized, and the responsibility target of the unit is uniformly analyzed to form the annual working target of the unit;
unit work index definition module: decomposing the annual work target of the unit, including but not limited to work content, time requirement and quality requirement which need to be done around the annual work target, and recording the work;
department work index definition module: specifying a specific department for which the unit work index is completed, and decomposing the unit work index into the departments to form a department work index;
the personal work index definition module is used for decomposing the work indexes of the department into the individuals to bear work specifically by the department so as to form personal work indexes; the personal work indexes comprise but are not limited to index numbers, work contents, work departments, workers, work types, work quality requirements, work time requirements, work weights, work properties, branch management department leaders and branch management unit leaders;
the work index distribution module: and distributing the relevant parameters of the personal working index to specific workers.
The annual work plan indexes of units formulated in the last year and the beginning of the year are divided into relevant departments to formulate department work plan indexes, the department work plans are implemented on the heads of people to form personal early-year work indexes, the work indexes arranged by leading and other departments in the year form personal annual work indexes, and the work indexes are established on the basis of work targets and work posts, so that the method is suitable for the current popular target assessment method and is also suitable for post assessment methods. The method is also suitable for assessment under conditions and requirements of different working property types and the like, and the working performance of an individual is comprehensively analyzed based on the working big data.
Example 2
A performance management assessment system constructed based on big work data and a mathematical model comprises: the system comprises a work index definition module, a work process management module, a performance score generation module, a performance decision analysis module and a performance personnel application module, wherein the work index definition module, the work process management module, the performance score generation module, the performance decision analysis module and the performance personnel application module are arranged in the work process management module
The work index definition module: decomposing the work target of the unit into the work index of the worker, distributing each work in the unit year to the worker as the work index, and transmitting the content to the work process management module;
the working index records the working basic information of the index such as the working property, classification, weight, content, staff, managers, time requirements, quality requirements, target requirements and the like, and the accuracy of the parameter information determines the accuracy of final performance assessment. The appraisal is judged according to the execution results of the parameters, so that the work index definition module is the most basic link and the most important link in the performance management, the first-level (unit), second-level (department) and third-level (individual) work indexes of the work indexes are formulated scientifically, and the standard index parameters are formulated as the most important link.
The working process management module: receiving information of a work index definition module, and in the whole performance period, monitoring the completion condition of a work index in the whole process to help workers solve various problems possibly occurring in the performance period and better help the workers to complete work plans; the working process management upper-link working index definition module and the lower-link performance generation module are links with the longest duration, and record the conditions of completion time, completion quality, work cooperation and the like of working indexes of workers. And providing key data for performance appraisal such as working on time, according to quality, cooperation and the like. And transmits the data to the performance achievement generation module.
A performance achievement generation module: the system comprises a work process management module, a performance decision analysis module and a performance decision analysis module, wherein the work process management module is used for receiving information of the work process management module, performing statistical analysis on generated data, and mainly has the main functions of generating work weight scores of workers according to a related data model calculation method, generating work time weight scores, generating work quality weight scores, generating work adaptability weight scores and work completion condition scores, adjusting the proportion of related weights in comprehensive performance assessment (assessment data models of units) according to the work actual conditions of the units, finally generating comprehensive performance scores and comprehensive ranking of the workers, and transmitting the data to the performance decision analysis module;
a performance decision analysis module: receiving the data of the performance score generation module, analyzing the data, and transmitting the analysis result to the performance personnel application module;
specifically, according to the work record condition of the worker, the worker is analyzed to what the worker does, and what the work does is done, among the works, the work of the types and the properties is good, the work of the types and the properties is not good, the important work is done, the creative work is done, the work is shown by the superior department or unit, the work is completed, the work is not completed, the work of the weight type is good, the work is done generally, and the target task completion condition evidence on the post and the like are used for decision analysis.
A performance personnel operation module: and receiving data of the performance decision analysis module, and carrying out related adjustment on the fitness of the personnel posts according to the comprehensive ranking and the performance analysis result of the unit, wherein the proportion of the comprehensive ranking before can be used for providing personnel application reference for promotion consideration, post consideration and the like.
Furthermore, the work index definition module comprises a unit target definition module, a unit work index definition module, a department work index definition module, a personal work index module and a work index distribution module;
wherein the unit object definition module: the system is used for formulating the working target of the annual unit, wherein the working target comprises but is not limited to the working content of the unit, the importance of the divided work is realized, and the responsibility target of the unit is uniformly analyzed to form the annual working target of the unit;
unit work index definition module: decomposing the annual work target of the unit, including but not limited to work content, time requirement and quality requirement which need to be done around the annual work target, and recording the work;
department work index definition module: specifying a specific department for which the unit work index is completed, and decomposing the unit work index into the departments to form a department work index;
the personal work index definition module is used for decomposing the work indexes of the department into the individuals to bear work specifically by the department so as to form personal work indexes;
the work index distribution module: and distributing the relevant parameters of the personal working index to specific workers.
The annual work plan indexes of units formulated in the last year and the beginning of the year are divided into relevant departments to formulate department work plan indexes, the department work plans are implemented on the heads of people to form personal early-year work indexes, the work indexes arranged by leading and other departments in the year form personal annual work indexes, and the work indexes are established on the basis of work targets and work posts, so that the method is suitable for the current popular target assessment method and is also suitable for post assessment methods. The method is also suitable for assessment under conditions and requirements of different working property types and the like, and the working performance of an individual is comprehensively analyzed based on the working big data.
Furthermore, the working process management module comprises a checking working index module, an evaluation working index module and a commonality index evaluation module;
wherein, the auditing work index module: the method is used for the relevant leaders of the units to audit the indexes of the completed work tasks submitted by the workers, wherein the specific audit content comprises but is not limited to whether the work tasks are completed or not and whether the work tasks are completed on time or not;
an evaluation work index module: the leaders evaluate the quality of the work index tasks completed by the workers; the evaluation can be classified as excellent, good, neutral and failed.
The common work index evaluation module: the evaluation method is that a scoring parameter is established from the beginning of the year, and the excellent, good and neutral completion time is separately reported according to the completion condition, so that the active promotion of the work of the unit is facilitated.
The personal work tutoring module: and returning to the staff to finish related work according to the quality requirement of the index and providing work method guidance for the unqualified work index evaluated in the work index evaluation module.
Furthermore, the performance score generation module comprises a personal weight calculation module, a personal score generation module, a department score generation module and a weight mathematical model deduction module;
wherein the personal weight calculation module: calculating various weights of the work indexes completed by the workers and the work matching degree weight of the workers, calculating the work completion condition score of each worker, the weight coefficient score of the completed work, the quality weight coefficient value score of the completed work, the work time weight coefficient score of the completed work and the work matching degree weight coefficient score;
the personal achievement generation module: according to the calculation result of the weight calculation module, calculating the personal comprehensive achievement under the condition of personal weight;
department score generation module: taking the average value added according to the personal comprehensive scores of each worker in the department as the comprehensive score of the work of the department;
a weight mathematical model deduction module: and allocating the proportion of the coefficients related to the weights to the examination, and making the proportion of the related weight coefficients which meet the examination requirements of units.
Furthermore, the performance decision analysis module comprises a personal statistic analysis module, a department statistic analysis module and a personnel decision analysis module.
Wherein the personal statistics analysis module: carrying out statistical analysis according to the nature and type of personal work and various personal work weights, and analyzing the personal work completion condition; the completion conditions of various work types and work properties of the individual year or the cross-year can be analyzed, including the conditions of the work quality, the work time quantity, the work weight and the like. The method can analyze the work of the individual with good performance and little burden, and can count and analyze the conditions of various work of the individual.
A department statistical analysis module: according to the overall work of individuals in the department, analyzing but not limited to the work load of the department, the work condition of the department, the relation between the hands of the department and the work time quantity and the related work condition of the department over the years;
personnel decision analysis module: according to the requirements of personnel, ranking is obtained through statistical analysis of personnel with higher related working quality all the year round according to the data of posts, working properties, types and the like of the personnel, and related talents required by the personnel are obtained; analyzing the demand condition of a department for workers; the cadres are preferably reserved according to the relative ranking, and workers are encouraged to work hard, work seriously and innovate.
Furthermore, the performance personnel application module comprises a personal decision application report module, a department decision application report module and a personnel decision analysis report module;
wherein the personal decision application reporting module: the system is used for forming the annual working conditions into personal reports of workers, forming a comparison table according to the annual working conditions and analyzing the growth records of the annual work of the workers;
department decision application reporting module: the system is used for forming a report of department work according to the annual work conditions of the department, forming a comparison table according to the annual work conditions of the department, and analyzing the record condition and the comparison of the annual work of the department;
personnel decision analysis report module: and analyzing the working characteristics and characteristics of corresponding personnel according to personnel needs to form corresponding reports.
The scheme is that the work indexes are divided into a plurality of grades according to the work difficulty and the work importance, the work time weight is formed according to the number of the work time (quantity) completed by individuals and the average work time ratio completed by a unit, the work quality weight is formed according to the acceptance obtained by the work and the acceptance obtained by the average individuals of the unit, and the work matching degree index is formed through coordination and evaluation according to whether the work is completed on time and whether the work is completed. The indexes carry out statistical analysis on the working conditions of all aspects of the individual through the working properties and the working classifications to form an individual working condition report, the individual working indexes are gathered to departments to form a department working condition report, and the individual working ranking and the department working ranking are formed according to the conditions.
The performance score generation module calculates the related scores of the personal work by using a multi-dimensional digital model, and forms a method and a system for performance management and assessment elements based on the work difficulty degree and the work importance as a weight (personal work weight for short), a personal work time weight, a personal work quality weight, a work completion degree (basic score), a work property, a work classification and a work cooperation degree;
the personal work weight score is obtained by ranking the work weight score of the individual relative to the unit, corresponding assignment is carried out according to the ranking, the personal ranking is calculated according to a scientific statistical analysis principle, and the work time (quantity) weight and the work quality weight are calculated by the ranking method. The work completion degree and the work matching index are functions of the performance grade generation module, the work completion degree is used as a calculation base number according to whether the work indexes of the year are completely completed in time, and a specific algorithm is in the formula. All the operating index parameters are generated in the process of index definition and process management.
Furthermore, the personal achievement generating module comprises a work completion degree J, a work weight coefficient G, a work time weight coefficient S, a work quality weight coefficient Q, a work matching degree and special deduction management which are all generated in the personal achievement generating module, and a relevant work weight ranking and coefficient are formed by utilizing the work records of the individual and relevant parameters of the work indexes.
The calculation mode of the personal comprehensive ranking score Z is as follows: z is personal basic score (job completion degree) J personal job weight G personal job time weight S personal job quality weight Q job match degree (this parameter is used in the unit group where the cooperation of department and staff is highly required, and is not used in general)
Wherein the basic score adopts 100 grades, the work of the staff is completed 100 grades on time, and other basic score calculation modes are as follows: j individual base score is 100 × (1- (incomplete job (time or number)/total job (time or number) + not working on time (time or number)/2 (ratio can be adjusted according to actual conditions)/total job (time or number)));
if the staff completes the related work, the indexes of the work must be submitted to the leader for examination, the time for submitting the indexes is not the time for the staff to complete the work, if the time for submitting the indexes and the time required by the work indexes are late, the staff is considered to not complete the work indexes on time, and if the time for submitting the indexes and the time required by the work indexes are early, the staff is considered to complete on time. And if the data is not submitted at the end of the year, the data is regarded as an incomplete work index.
The personal work weight score is assigned according to the weight ranking, the personal work quality weight score is assigned according to the quality weight ranking, the personal work time weight score is assigned according to the work time ranking, the assignment range is generally [0.9, 1.1], and the personal work time weight score can be comprehensively adjusted according to the assessment angle which is valued by units, so that the aim of unit key assessment is fulfilled.
The personal work weight coefficient is calculated in the following way: first, ranking:
if the ranking here does not fully expand the ranking, followed by a ranking without the next highest weight of the ranking excluding the ranking,
looping until the end of the last ranking;
and step two, assignment: the difference of the assignment range, for example, if the assignment range is [0.9, 1.1], then its difference is 0.2, and 0.2 is divided by the total number of ranks in the unit personal rank, and G first is assigned to the maximum value of the interval range (where multiple people can rank the same) 1.1, then the value of the second is 1.1- (0.2 is divided by the total number of ranks in the unit rank), and the assignment is completed until the last G is 0.9.
The calculation method of the personal working time weight coefficient comprises the following steps:
and step two, assignment: for example, if the range of assignment is [0.9, 1.1] then its difference is 0.2, the total number of ranks in the individual rank is divided by 0.2, the first name is assigned to the maximum value of the range (where multiple people may rank the same) 1.1, the second name is assigned to 1.1- (the total number of ranks in the unit individual rank is divided by 0.2), and the assignment is completed until the last name S is 0.9.
The method for calculating the personal work quality weight coefficient comprises the following steps:
if the ranking here is not fully expanded by a rank,
looping until the end of the last ranking;
and step two, assignment: for example, if the range of values is [0.9, 1.1] then its difference is 0.2, and 0.2 is divided by the total number of ranks in the unit individual rank, the first name Q is assigned to the maximum value of the range of intervals (where multiple people can rank the same) 1.1, and the second name Q is 1.1- (0.2 is divided by the number of ranks) until the last name Q is assigned to 0.9.
The coefficient of the work matching degree is calculated according to the result of the mutual evaluation scores of the workers, the calculation mode is different according to different grades of evaluation score ratios, and finally the coefficient scores are combined to form the coefficient score.
The mutual evaluation scores are realized in the work process management, the evaluation is carried out among the department co-workers, the leaders and the subordinates, the subordinates and the leaders, the work matching degree is scored, and the evaluation average value of the ordinary staff is 25 percent, the evaluation average value of the department leaders is 35 percent and the evaluation value of the unit leaders is 40 percent.
The system is particularly applied to deduction management, and is used for correcting and assessing workers after comprehensive ranking score scores, a unit leader and deputy leaders correct system errors according to the ordinary performance of the workers, the workers can be evaluated and added within a certain authority range, the adding score value is within the range of the difference value between the highest score and the lowest score of the comprehensive ranking, and the principle adding score is not higher than 30% of the maximum adding score of the comprehensive ranking.
Claims (9)
1. A performance management and assessment system is constructed based on big work data and a mathematical model, and is characterized in that: the method comprises the following steps: the system comprises a work index definition module, a work process management module, a performance score generation module, a performance decision analysis module and a performance personnel application module, wherein the work index definition module, the work process management module, the performance score generation module, the performance decision analysis module and the performance personnel application module are arranged in the work process management module
The work index definition module: decomposing the work target of the unit into the work index of the worker, distributing each work in the unit year to the worker as the work index, and transmitting the content to the work process management module;
the working process management module: receiving information of a work index definition module, monitoring the completion condition of a work index in the whole performance period in the whole process, recording key events and relevant information of the work completion condition of workers in the working process, wherein the information comprises performance work quality evaluation, fitness evaluation, completion time, completion or not, and completion or not on time of the relevant information generated by index parameters, and providing a basis for the performance evaluation; and transmitting the data to a performance score generation module;
a performance achievement generation module: receiving information of a working process management module, generating a working weight score, a working time weight score, a working quality weight score, a working matching degree weight score and a working completion condition score of a worker, adjusting the proportion of relevant weights in comprehensive performance assessment according to the working actual condition of a unit, finally generating a comprehensive performance score and comprehensive ranking of the worker, and transmitting data to a performance decision analysis module;
a performance decision analysis module: receiving the data of the performance score generation module, analyzing the data, and transmitting the analysis result to the performance personnel application module;
a performance personnel operation module: and receiving data of the performance decision analysis module, and carrying out related adjustment on the fitness of the personnel posts according to the comprehensive ranking and the performance analysis result of the units.
2. The performance management assessment system based on big work data and mathematical model as claimed in claim 1, wherein: the work index definition module comprises a unit target definition module, a unit work index definition module, a department work index definition module, a personal work index module and a work index distribution module;
wherein the unit object definition module: the system is used for formulating the working target of the annual unit, wherein the working target comprises but is not limited to the working content of the unit, the importance of the divided work is realized, and the responsibility target of the unit is uniformly analyzed to form the annual working target of the unit;
unit work index definition module: decomposing the annual work target of the unit, including but not limited to work content, time requirement and quality requirement which need to be done around the annual work target, and recording the work;
department work index definition module: specifying a specific department for which the unit work index is completed, and decomposing the unit work index into the departments to form a department work index;
the personal work index definition module: the department decomposes the work index of the department into individuals to bear work specifically, and the individual work index is formed, wherein the individual work index comprises but is not limited to index number, work content, work department, staff, work type, work quality requirement, work time requirement, work weight, work property, branch management department leader and branch management unit leader parameter;
the work index distribution module: and distributing the relevant parameters of the personal working index to specific workers.
3. The performance management assessment system based on big work data and mathematical model as claimed in claim 1, wherein: the working process management module comprises a checking working index module, an evaluation working index module and a common index evaluation module;
wherein, the auditing work index module: the method is used for the relevant leaders of the units to audit the indexes of the completed work tasks submitted by the workers, wherein the specific audit content comprises but is not limited to whether the work tasks are completed or not and whether the work tasks are completed on time or not;
an evaluation work index module: the leaders evaluate the quality of the work index tasks completed by the workers;
the common work index evaluation module: is a related work index finished by multiple departments or multiple persons in a unit together;
the personal work tutoring module: and returning to the staff to finish related work according to the quality requirement of the index and providing work method guidance for the unqualified work index evaluated in the work index evaluation module.
4. The performance management assessment system based on big work data and mathematical model as claimed in claim 1, wherein: the performance score generation module comprises a personal weight calculation module, a personal score generation module, a department score generation module and a weight mathematical model deduction module;
wherein the personal weight calculation module: calculating various weights of the work indexes completed by the workers and the work matching degree weight of the workers, calculating the work completion condition score of each worker, the weight coefficient score of the completed work, the quality weight coefficient value score of the completed work, the work time weight coefficient score of the completed work and the work matching degree weight coefficient score;
the personal achievement generation module: according to the calculation result of the weight calculation module, calculating the personal comprehensive achievement under the condition of personal weight;
department score generation module: taking the average value added according to the personal comprehensive scores of each worker in the department as the comprehensive score of the work of the department;
a weight mathematical model deduction module: and allocating the proportion of the coefficients related to the weights to the examination, and making the proportion of the related weight coefficients which meet the examination requirements of units.
5. The performance management assessment system based on big work data and mathematical model as claimed in claim 1, wherein: the performance decision analysis module comprises a personal statistic analysis module, a department statistic analysis module and a personnel decision analysis module;
wherein the personal statistics analysis module: carrying out statistical analysis according to the nature and type of personal work and various personal work weights, and analyzing the personal work completion condition;
a department statistical analysis module: according to the overall work of individuals in the department, analyzing but not limited to the work load of the department, the work condition of the department, the relation between the hands of the department and the work time quantity and the related work condition of the department over the years;
personnel decision analysis module: according to the requirements of personnel, ranking is obtained through statistical analysis of personnel with higher related working quality all the year round according to the data of posts, working properties, types and the like of the personnel, and related talents required by the personnel are obtained; analyzing the demand condition of a department for workers; the reserve cadres are preferred according to the associated ranking.
6. The performance management assessment system based on big work data and mathematical model as claimed in claim 1, wherein: the performance personnel operation module comprises a personal decision operation report module, a department decision operation report module and a personnel decision analysis report module;
wherein the personal decision application reporting module: the system is used for forming the annual working conditions into personal reports of workers, forming a comparison table according to the annual working conditions and analyzing the growth records of the annual work of the workers;
department decision application reporting module: the system is used for forming a report of department work according to the annual work conditions of the department, forming a comparison table according to the annual work conditions of the department, and analyzing the record condition and the comparison of the annual work of the department;
personnel decision analysis report module: and analyzing the working characteristics and characteristics of corresponding personnel according to personnel needs to form corresponding reports.
7. The performance management assessment system based on big work data and mathematical models as claimed in claim 4, wherein: the personal achievement generating module comprises a work completion degree J, a work weight coefficient G, a work time weight coefficient S, a work quality weight coefficient Q, a work matching degree and special deduction management which are all generated in the personal achievement generating module, and a relevant work weight ranking and coefficient are formed by using the work records of individuals and relevant parameters of work indexes; the calculation mode of the personal comprehensive ranking score Z is as follows: and Z is the personal base score J, the personal working weight G, the personal working time weight S, the personal working quality weight Q and the working matching degree.
8. The system for performance management assessment based on big work data and mathematical model as claimed in claim 7, wherein:
wherein the basic score adopts 100 grades, the work of the staff is completed 100 grades on time, and other basic score calculation modes are as follows: j individual base score is 100 × (1- (incomplete job (time or number)/total job (time or number) + not working on time (time or number)/2 (ratio can be adjusted according to actual conditions)/total job (time or number)));
the personal work weight score is assigned according to the weight ranking, the personal work quality score is assigned according to the quality weight ranking, the personal work time weight score is assigned according to the work time ranking, and the assignment range is generally [0.9, 1.1 ];
the personal work weight coefficient is calculated in the following way: first, ranking:
if the ranking here does not fully expand the ranking, followed by a ranking without the next highest weight of the ranking excluding the ranking,
looping until the end of the last ranking;
and step two, assignment: dividing the difference value of the assignment range by the total number of the ranking names of the unit individual, assigning the first name to the maximum value of the interval range, and assigning until the last name is finished;
the calculation method of the personal working time weight coefficient comprises the following steps:
and step two, assignment: dividing the difference value of the assignment range by the total number of the ranking names of the individual, assigning the first name to the maximum value of the interval range, and assigning the first name until the last name is finished;
the method for calculating the personal work quality weight coefficient comprises the following steps:
if the ranking here is not fully expanded by a rank,
looping until the end of the last ranking;
and step two, assignment: dividing the difference value of the assignment range by the total number of the ranking names of the unit individual, assigning the first name to the maximum value of the interval range, and assigning until the last name is finished;
the coefficient of the work matching degree is calculated according to the result of the mutual evaluation score of the workers, and the mutual evaluation score is realized in the work process management;
in addition to the deduction management and the work management, the method is a correction method for workers after the comprehensive ranking score is achieved.
9. The system for performance management assessment based on big work data and mathematical model as claimed in claim 7, wherein: in order to adapt to different units, the proportion of the work weight, the work time weight, the work quality weight and the work matching degree in the comprehensive ranking is adjustable.
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