Employee operation evaluation method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of employee management, and discloses an employee operation evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target shift corresponding to a target employee, carrying out the matching of production data based on the target shift, obtaining initial data, responding to a target index selected from pre-established evaluation indexes, and carrying out the operation evaluation of the target employee. According to the collection duration corresponding to the target index and a target scoring item corresponding to the target index, target data is determined from the initial data, scoring is carried out based on the target data and a preset scoring rule, a scoring result is obtained, the scoring rule comprises a mapping relation between the target data and a scoring score corresponding to the target scoring item, and the scoring result is obtained. Evaluating the operation of the target employee according to the scoring result; through the method, a more practical and more accurate employee operation evaluation method is provided.

Description

Technical Field

[0001] The present application relates to the technical field of employee management, and in particular to an employee operation evaluation method, device, electronic device and storage medium. Background Art

[0002] As a key equipment in the steel production process, the stable and efficient operation of the blast furnace is directly related to the production efficiency and market competitiveness of the steel enterprise. As the direct manager and technical instructor of the blast furnace production site, the blast furnace foreman plays a core role in ensuring the stability and safety of blast furnace production and optimizing the production process. With their profound professional knowledge and rich practical experience, they finely control each link of blast furnace production to ensure the smooth realization of production goals. Therefore, scientific and reasonable operation evaluation of blast furnace foremen is not only an effective way to improve their personal work ability and professional quality, but also an important means for enterprises to optimize job management policies and enhance team cohesion and collaboration.

[0003] However, there are still many deficiencies in the current steel enterprises' job operation evaluation of blast furnace foremen. First, the assessment dimension is too single, mainly focusing on the assessment of result indicators, while ignoring the stability and continuity of the production process, resulting in the lack of comprehensiveness and scientificity of the evaluation system. Secondly, the indicator system is imperfect and fails to fully reflect the complexity and particularity of blast furnace production, making it difficult for the evaluation results to accurately reflect the actual work performance of blast furnace foremen. In terms of scoring rules, most companies still use a simple addition and subtraction method, failing to combine the process requirements and management intentions of blast furnace production for refined design, resulting in the fairness and effectiveness of the evaluation results being questioned. In addition, there are obvious deficiencies in the use of performance appraisal data. The appraisal results are often only linked to employee income, and lack in-depth analysis and improvement suggestions for production management and talent management, which greatly reduces the supporting role of the appraisal. Obviously, there is an urgent need for a new employee operation evaluation method to solve at least one of the above problems.

[0004] It should be noted that the above content only provides background technical information related to the present application and does not necessarily constitute prior art. Summary of the invention

[0005] In view of the shortcomings of the prior art mentioned above, the present application provides an employee operation evaluation method, device, electronic device and storage medium to improve the systematicness and scientificity of the blast furnace foreman job evaluation index system, improve performance appraisal efficiency and management improvement support.

[0006] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0007] According to one aspect of an embodiment of the present application, a method for evaluating employee operations is provided, comprising: obtaining a target shift corresponding to a target employee, matching production data based on the target shift to obtain initial data; in response to selecting a target indicator from pre-established evaluation indicators, determining the target data from the initial data according to a collection duration corresponding to the target indicator and a target scoring item corresponding to the target indicator; scoring based on the target data and a pre-set scoring rule to obtain a scoring result, wherein the scoring rule includes a mapping relationship between the target data and a scoring value corresponding to the target scoring item; and evaluating the operation of the target employee according to the scoring result.

[0008] In one embodiment of the present application, based on the aforementioned scheme, scoring is performed based on the target data and pre-set scoring rules to obtain a scoring result, including: obtaining standard data corresponding to the target indicator, the standard data being determined according to preset assessment requirements and / or historical production data; calculating the calculation results of the target scoring items according to the target data and the standard data respectively; determining the target evaluation rules from the preset evaluation rules according to the matching results of the target scoring items and the pre-designed sub-items, matching the calculation results with the target evaluation rules, and obtaining the scoring values ​​corresponding to the target scoring items, wherein the preset evaluation rules include the scoring values ​​corresponding to each of the pre-designed sub-items; and calculating the scoring results based on the scoring values ​​corresponding to the target scoring items.

[0009] In one embodiment of the present application, based on the aforementioned scheme, the method further includes: classifying the evaluation indicators based on an indicator classification standard to obtain an indicator classification result, and assigning weights to each of the indicator classification results according to historical production data to obtain a classification weight of each of the indicator classification results, wherein the indicator classification standard includes the position type and / or business type of the target employee; determining the indicator weight of each of the evaluation indicators according to the historical production data and the classification weight, and determining the item weight of each of the scoring items according to the indicator weight and the historical production data; calculating based on the scoring value corresponding to the target scoring item and the item weight corresponding to the target scoring item to obtain the indicator score corresponding to the target indicator; calculating based on the indicator score corresponding to the target indicator and the indicator weight corresponding to the target indicator to obtain the scoring result.

[0010] In one embodiment of the present application, based on the aforementioned scheme, scoring is performed based on the target data and pre-set scoring rules, and after obtaining the scoring results, the method further includes: scoring each of the evaluation indicators according to the target shift according to a preset period to obtain an indicator score corresponding to each of the evaluation indicators; calculating according to the indicator classification results and the indicator scores corresponding to each of the evaluation indicators to obtain a category score corresponding to each of the indicator classification results; if the indicator score is lower than the preset indicator score threshold and / or the category score is lower than the preset category score threshold, generating an early warning prompt information to provide an early warning prompt to the target employee.

[0011] In one embodiment of the present application, based on the aforementioned scheme, after scoring each of the evaluation indicators according to the target shift in accordance with a preset period and obtaining the indicator score corresponding to each of the evaluation indicators, the method further includes at least one of the following: if the indicator score is lower than a preset indicator score threshold, calculating the frequency of the indicator score being lower than the preset indicator score threshold within the preset period, performing grading according to the frequency, and evaluating the operation of the target employee according to the grading result; if the indicator score is lower than the preset indicator score threshold, analyzing the cause according to the initial data, and generating corresponding recommended measures according to the cause.

[0012] In one embodiment of the present application, based on the aforementioned scheme, scoring is performed based on the target data and pre-set scoring rules, and after the scoring results are obtained, the method further includes: performing statistics on the scoring results according to a preset statistical period to obtain a comprehensive score and a progress rate; ranking the target employees according to the comprehensive score and the progress rate, respectively, to obtain a comprehensive ranking and a progress ranking, and evaluating the operations of the target employees according to the comprehensive ranking and the progress ranking.

[0013] In one embodiment of the present application, based on the aforementioned scheme, in response to selecting the target indicator from pre-established evaluation indicators, the method also includes: establishing the evaluation indicators according to preset assessment requirements and / or historical production data; setting the scoring items corresponding to each evaluation indicator based on each evaluation indicator and the preset time granularity corresponding to each evaluation indicator; and determining the collection time corresponding to each evaluation indicator based on the historical production data.

[0014] According to one aspect of an embodiment of the present application, an employee operation evaluation device is provided, including: an acquisition module, used to acquire a target shift corresponding to a target employee, and match production data based on the target shift to obtain initial data; a determination module, used to select a target indicator from pre-established evaluation indicators, and determine the target data from the initial data according to a collection time corresponding to the target indicator and a target scoring item corresponding to the target indicator; a calculation module, used to score based on the target data and a pre-set scoring rule to obtain a scoring result, wherein the scoring rule includes a mapping relationship between the target data and the scoring value corresponding to the target scoring item; and an evaluation module, used to evaluate the operation of the target employee according to the scoring result.

[0015] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the employee operation evaluation method as described in any one of the above embodiments.

[0016] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor of a computer, the computer is caused to execute the employee operation evaluation method as described in any one of the above embodiments.

[0017] The beneficial effects of the present application are as follows: the present application obtains the target shift corresponding to the target employee, matches the production data based on the target shift, obtains the initial data, selects the target indicator from the pre-established evaluation indicators, determines the target data from the initial data according to the collection time corresponding to the target indicator and the target scoring item corresponding to the target indicator, performs scoring based on the target data and the pre-set scoring rules, and obtains the scoring result, wherein the scoring rule includes a mapping relationship between the target data and the scoring values ​​corresponding to the target scoring items, and evaluates the operation of the target employee according to the scoring result, thereby improving the systematicness and scientificity of the blast furnace foreman position evaluation index system, improving the efficiency of performance appraisal and management improvement support, and forming an operational knowledge base for the foreman position. The invention has high versatility and reusability, and is suitable for the operational evaluation of blast furnace processes or other process main operation positions.

[0018] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0020] Figure 1 is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application;

[0021] Figure 2 is a flowchart of an employee operation evaluation method shown in an exemplary embodiment of the present application;

[0022] Figure 3 is a flowchart of an employee operation evaluation method shown in another exemplary embodiment of the present application;

[0023] Figure 4 is a block diagram of an employee operation evaluation system shown in an exemplary embodiment of the present application;

[0024] Figure 5 is a block diagram of an employee operation evaluation device shown in an exemplary embodiment of the present application;

[0025] Figure 6 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0026] The following will describe the implementation methods of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementation methods, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, not for limiting the scope of protection of the present application.

[0027] It should be noted that the illustrations provided in the following embodiments are only used to illustrate the basic concept of the present application in a schematic manner, and therefore the illustrations only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0028] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0029] First of all, it should be noted that the MES system, or Manufacturing Execution System, is a production information management system for the execution layer of the workshop of manufacturing enterprises. It plays a vital role in the manufacturing industry. As a bridge between the planning layer and the control layer of the enterprise, it provides strong support for the efficient operation and optimization of the production process. The main functions of the MES system include: production planning and scheduling, production process monitoring, quality management, material management, equipment management, etc. In addition, the MES system can also collect a large amount of data in the production process, store and analyze it, and provide data support for the optimization of the production process. By optimizing production planning and resource allocation, the MES system can reduce waiting time and waste in production and improve production efficiency; through precise material management and equipment maintenance, it can reduce inventory costs and maintenance costs; through real-time quality monitoring and traceability functions, it can timely discover and solve quality problems and improve product quality and customer satisfaction.

[0030] ERP system, or Enterprise Resource Planning system, is an integrated enterprise management software system. It realizes comprehensive enterprise resource management by integrating the information flow, logistics and capital flow of various departments within the enterprise. The main functions of the ERP system include: resource management, order management, supply chain management, financial management, human resource management, etc. The ERP system provides a unified platform to coordinate the work between various departments and enhance the management efficiency and decision-making ability of the enterprise. It plays a vital role in enterprise management and can help enterprises achieve comprehensive resource integration and management, and improve the competitiveness and benefits of enterprises.

[0031] Figure 1 It is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application.

[0032] Reference Figure 1As shown, the system architecture may include a data acquisition device 101 and a computer device 102. The computer device 102 may be at least one of a desktop graphics processing unit (GPU) computer, a GPU computing cluster, a neural network computer, etc. The data acquisition device 101 is used to obtain the target shift and production data corresponding to the target employee. In this embodiment, the data acquisition device 101 obtains the above data and provides it to the computer device 102 for processing. Relevant technicians can use the computer device 102 to match the production data based on the target shift to obtain initial data, select the target indicator from the pre-established evaluation indicators, and determine the target data from the initial data according to the acquisition time corresponding to the target indicator and the target scoring item corresponding to the target indicator. Scoring is performed based on the target data and the pre-set scoring rules to obtain the scoring result, wherein the scoring rule includes the mapping relationship between the target data and the scoring score corresponding to the target scoring item, and the operation of the target employee is evaluated according to the scoring result. It should be noted that the data acquisition device 101 and the computer device 102 provided in this embodiment are only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0033] It should be noted that the employee operation evaluation method provided in the embodiment of the present application is generally executed by the computer device 102 , and accordingly, the employee operation evaluation device is generally set in the computer device 102 .

[0034] Figure 2 is a flowchart of an employee operation evaluation method shown in an exemplary embodiment of the present application. The employee operation evaluation method can be executed by a computing and processing device. The computing and processing device can be Figure 1 The computer device 102 shown in FIG. Figure 2 As shown, the employee operation evaluation method at least includes steps S210 to S240, which are described in detail as follows:

[0035] In step S210, the target shift corresponding to the target employee is obtained, and the production data is matched based on the target shift to obtain initial data.

[0036] In one embodiment of the present application, the production data of the target employee corresponding to the system and the target shift corresponding to the target employee are obtained, the shift information in the production data is matched according to the target shift, and the successfully matched production data is determined as the initial data. For example, the production data is matched from a system such as MES or ERP according to the target shift corresponding to the target employee to obtain the initial data.

[0037] In step S220, in response to selecting a target indicator from pre-established evaluation indicators, target data is determined from the initial data according to a collection duration corresponding to the target indicator and a target scoring item corresponding to the target indicator.

[0038] In one embodiment of the present application, the target indicator is selected from the pre-established evaluation indicators. The selection method can be selected according to a preset selection rule, or randomly selected, or selected according to the user's requirements or the indicator selection result input by the user. The present application does not limit this. The selection range of the target data is determined according to the collection time corresponding to the target indicator, and the specific data corresponding to the target data is determined according to the target scoring item corresponding to the target indicator, so as to determine the target data from the initial data.

[0039] In one embodiment of the present application, in response to the process before selecting the target indicator from the pre-established evaluation indicators, the process also includes the following steps: establishing the evaluation indicators according to the preset assessment requirements and / or historical production data; setting the scoring items corresponding to each evaluation indicator based on each evaluation indicator and the preset time granularity corresponding to each evaluation indicator; and determining the collection time corresponding to each evaluation indicator based on the historical production data.

[0040] In this embodiment, taking the employee as a blast furnace foreman as an example, the preset assessment requirements include but are not limited to economic related indicators, furnace stability related indicators, and employee operation related indicators. The design index library structure includes two dimensions, the vertical dimension and the horizontal dimension. The vertical dimension is composed of evaluation indicators, and the horizontal dimension is composed of scoring items. Refer to Table 1. Table 1 is an evaluation index structure table shown in an exemplary embodiment of this application. Taking the vertical dimension as an example, it is composed of three categories: result indicators, stability indicators, and process indicators. The evaluation indicators of technical economy related to the result indicators are determined according to the preset assessment requirements, the evaluation indicators of furnace stability related to the stability indicators, and the evaluation indicators of controllable operation of the foreman are related to the process indicators; the horizontal dimension is determined according to each evaluation indicator and the preset time granularity corresponding to each evaluation indicator, and is composed of one or more of the completion rate, control rate, actual indicator value, progress value, excess ratio, standard deviation, etc. Determine the evaluation criteria of the indicator, that is, the upper and lower limits of the indicator control, which can be set according to historical production data, production experience, operating guidelines (operating rules) or relevant production systems; determine the time offset corresponding to the evaluation indicator, that is, the collection time, that is, the indicator foreman operation requires a corresponding amount of time to reflect the result, which can be set according to historical production data and / or production experience.

[0041] Table 1

[0042]

[0043] In Table 1, P1 and Q1 are the corresponding parameter values ​​of the full score and passing score in Detail 1, respectively; P2 and Q2 are the corresponding parameter values ​​of the full score and passing score in Detail 2, respectively. It should be noted that this embodiment is only for illustration, and the data in Table 1 (including the number of rows, columns, indicator names, item names, weights, etc.) can be increased, decreased or changed according to actual needs, and the values ​​can also be modified according to actual needs, and this application does not impose any restrictions on this.

[0044] In step S230, scoring is performed based on the target data and preset scoring rules to obtain a scoring result.

[0045] The scoring rules include a mapping relationship between target data and scoring values ​​corresponding to target scoring items.

[0046] In one embodiment of the present application, standard data corresponding to the target indicator is obtained, and the standard data is determined according to preset assessment requirements and / or historical production data; calculation results of the target scoring items are calculated respectively according to the target data and the standard data; target evaluation rules are determined from preset evaluation rules according to the matching results of the target scoring items and the pre-designed sub-items, and the calculation results are matched with the target evaluation rules to obtain the scoring values ​​corresponding to the target scoring items, wherein the preset evaluation rules include the scoring values ​​corresponding to the pre-designed sub-items; and the scoring results are calculated based on the scoring values ​​corresponding to the target scoring items.

[0047] In this embodiment, the standard data is the standard value corresponding to each evaluation index determined according to the preset assessment requirements and / or historical production data, and is used to calculate the calculation results of each scoring item according to the standard data corresponding to each evaluation index and the actual data corresponding to each evaluation index based on the calculation method corresponding to each scoring item. For example, the standard data of daily output is defined as A tons, and the actual output, i.e., the target data, is B tons. Then, the percentage of daily output exceeding the standard and the standard deviation are calculated according to A and B. The scoring rules for each evaluation index are designed, wherein the scoring rules include forward linear, reverse linear, forward and reverse linear combination, and ladder scoring, etc. The corresponding parameter values ​​of the full score and the passing score of the percentage system are set for each evaluation index, wherein the corresponding parameter values ​​can be configured according to the expert experience and / or the fitting method of historical production data, so as to perform data analysis according to the expert experience and / or historical production data and obtain the corresponding parameter values.

[0048] In one embodiment of the present application, evaluation indicators are classified based on indicator classification standards to obtain indicator classification results, and weights are assigned to each indicator classification result according to historical production data to obtain classification weights of each indicator classification result, wherein the indicator classification standard includes the position type and / or business type of the target employee; the indicator weight of each evaluation indicator is determined according to the historical production data and the classification weight, and the item weight of each scoring item is determined according to the indicator weight and the historical production data; the scoring value corresponding to the target scoring item and the item weight corresponding to the target scoring item are calculated to obtain the indicator score corresponding to the target indicator; the scoring result is obtained according to the indicator score corresponding to the target indicator and the indicator weight corresponding to the target indicator.

[0049] In this embodiment, the evaluation indicators are classified according to the job responsibilities and business characteristics of the target employees and the weights of each category are set. The classification weights of each category can be configured according to the expert experience and / or historical production data fitting method, that is, the classification weights of each indicator classification result are obtained by data analysis based on the expert experience and / or historical production data. The indicator weight of each evaluation indicator is determined according to the historical production data and the classification weight, wherein the sum of the indicator weights of each evaluation indicator in the same indicator classification result is equal to the classification weight of the indicator classification result, and the item weight of each scoring item is determined according to the indicator weight and historical production data, wherein the sum of the item weights of each scoring item in the same evaluation indicator is equal to the indicator weight of the evaluation indicator.

[0050] In this embodiment, the score corresponding to the target scoring item and the item weight corresponding to the target scoring item are calculated to obtain the indicator score corresponding to the target indicator; the score corresponding to the target indicator and the indicator weight corresponding to the target indicator are calculated to obtain the scoring result. Taking Table 1 as an example, continue to refer to Table 1, the scoring result = output * 10% + pig iron qualified rate * 5% + silicon control * 10% + sulfur control * 5% + molten iron temperature * 10% + fuel ratio * 10% + stability index * 30% + process index * 20%, where the silicon index score = excess proportion * weight 1 + standard deviation * weight 2, the excess proportion of silicon and the standard deviation weight add up to 100, it should be noted that this embodiment is only for example, the indicator classification results, classification weights, evaluation indicators, indicator weights, scoring items, item weights, etc. can be increased, reduced or changed according to actual needs, and their values ​​can also be modified according to actual needs, and this application does not limit this.

[0051] In step S240, the operation of the target employee is evaluated according to the scoring result.

[0052] In one embodiment of the present application, scoring is performed based on the target data and pre-set scoring rules, and the process after obtaining the scoring results also includes the following steps: scoring each evaluation indicator according to the target shift according to a preset period to obtain an indicator score corresponding to each evaluation indicator; calculating according to the indicator classification result and the indicator score corresponding to each evaluation indicator to obtain a category score corresponding to each indicator classification result; if the indicator score is lower than the preset indicator score threshold and / or the category score is lower than the preset category score threshold, generating a warning prompt information to provide a warning prompt to the target employee.

[0053] In this embodiment, taking the preset cycle as one day as an example, the scores of each indicator classification result, i.e., the category scores, the scores of each scoring indicator, i.e., the indicator scores, the indicator performance, i.e., the actual data corresponding to the evaluation indicators, and the horizontal classification performance of the indicators, i.e., the actual data corresponding to the indicator classification results, are monitored by shift every day, and early warning prompts are issued according to the indicator scores.

[0054] In one embodiment of the present application, each evaluation indicator is scored according to the target shift according to a preset period, and the process after obtaining the indicator score corresponding to each evaluation indicator also includes at least one of the following: if the indicator score is lower than the preset indicator score threshold, then the frequency of the indicator score being lower than the preset indicator score threshold within the preset period is calculated, and the target employee's operation is evaluated according to the grade division result; if the indicator score is lower than the preset indicator score threshold, the cause is analyzed according to the initial data, and corresponding recommended measures are generated according to the cause.

[0055] In this embodiment, for scoring indicators with index scores lower than the preset index score threshold, the foreman enters the cause of the problem and suggested measures by shift, and the workshop analyzes the frequency, cause and suggested measures of low-scoring indicators within a time period.

[0056] In one embodiment of the present application, scoring is performed based on the target data and pre-set scoring rules, and the process after obtaining the scoring results also includes the following steps: statistics are performed on the scoring results according to a preset statistical period to obtain a comprehensive score and a progress rate; the target employees are ranked according to the comprehensive score and the progress rate to obtain a comprehensive ranking and a progress ranking, and the operations of the target employees are evaluated according to the comprehensive ranking and the progress ranking.

[0057] In this embodiment, taking the preset statistical period of one day as an example, the comprehensive score, improvement rate, and three major classification scores of the vertical dimension of each team are counted by shift every day, and the comprehensive ranking of the team, improvement ranking, and indicator performance are compared to analyze the indicator shortcomings and the correlation between the three major classifications of the vertical dimension.

[0058] Figure 3 is a flowchart of an employee operation evaluation method shown in another exemplary embodiment of the present application, referring to Figure 3As shown, the employee operation evaluation method at least includes steps S1 to S8, which are described in detail as follows:

[0059] In step S1, the evaluation index library is established: the index library structure is designed, including two dimensions: vertical dimension and horizontal dimension. In this embodiment, the vertical dimension is composed of three categories: result index, stability index, and process index. Each category corresponds to an evaluation index. The horizontal dimension is composed of one or more scoring items of completion rate, control rate, actual index value, progress value, percentage of exceeding the standard, and standard deviation according to the meaning of the index and the time granularity. Determine the evaluation criteria of the index and determine the time offset of the index.

[0060] In step S2, the indicator source data is matched: the source data of the MES, ERP and other systems are matched according to the time offset of the corresponding indicators by shift every day, and the discrete or continuous data type is selected according to the time granularity of the indicator source data.

[0061] In step S3, scoring rule design: according to the classification of the horizontal dimension of the indicator, the scoring rule of each evaluation indicator is designed, and the scoring rule includes one or more of forward linear, reverse linear, forward and reverse linear combination and ladder scoring.

[0062] In step S4, scoring parameters are configured: according to the classification of the horizontal dimension of the indicator, the weight of each classification is set, and the corresponding parameter values ​​of the full score and the passing score are set for each classification. The classification weight and the corresponding parameter value can be configured according to expert experience or historical production data fitting.

[0063] In step S5, scoring index configuration: based on production demand within the evaluation period, index performance and other factors, scoring indexes are selected from the index library and corresponding index weights are configured. Specific index weights can be set based on expert experience or historical production data fitting.

[0064] In step S6, the scoring index process is monitored: the scores of each scoring index, the actual performance of the index, and the actual performance of each horizontal classification of the index are monitored by shift every day, and early warning prompts are issued according to the index scores.

[0065] In step S7, the evaluation results are analyzed: the comprehensive score, improvement rate, and three-dimensional score rate of each team are counted by shift every day, and the team comprehensive ranking, improvement ranking, and indicator performance are compared to analyze the indicator shortcomings and the correlation between the three-dimensional categories of the vertical dimension.

[0066] In step S8, problem improvement management: for scoring indicators with scores below a certain threshold, the foreman enters the cause of the problem and suggested measures by shift, and the workshop analyzes the frequency, cause and suggested measures of low-scoring indicators within a time period.

[0067] It can be understood that the above steps have been described in detail in the above embodiments and will not be repeated here.

[0068] like Figure 4 As shown, Figure 4 1 is a block diagram of an employee operation evaluation system shown in an exemplary embodiment of the present application, which includes an indicator configuration module 101, a score monitoring module 102, an evaluation analysis module 103, and an evaluation improvement module 104. An example is listed below for illustration:

[0069] The indicator configuration module 101 is used to configure the foreman's job operation evaluation indicators, and has the functions of building an indicator library, associating indicator data sources, configuring scoring rules and scoring parameters, and configuring scoring indicators and weights according to periodic evaluation requirements.

[0070] For example, in the indicator configuration for the job operation evaluation of blast furnace foremen in steel enterprises, there are 11 result indicators, such as daily output, silicon control, sulfur control, pass rate, single-tank silicon hit rate, molten iron temperature, fuel ratio, etc.; there are 10 stability indicators, such as total pressure difference, partial pressure, top pressure, permeability index, gas utilization rate, etc.; there are 14 process indicators, such as tapping time, tapping interval, hourly material speed, air volume, air temperature, iron amount difference per furnace, alkalinity, etc., and each indicator is associated with the system source data, namely the production data. Set scoring rules and scoring parameters respectively. For example, the calculation results of each scoring item corresponding to the total pressure difference indicator are 80% of the excess proportion and 20% of the standard deviation. The corresponding scoring rules are: 100 points for an excess proportion of less than or equal to 5%, 0 points for an excess proportion of greater than or equal to 90%, and reverse linear scoring between 5%-90%; 100 points for a standard deviation of less than or equal to 3.80, 0 points for a standard deviation greater than 16.15, and reverse linear scoring between 3.80-16.15; the upper and lower limits of the target are 190kPa-210kPa, and the time offset is 2h. The scoring indicators are configured for a certain month, of which 6 indicators are selected for result indicators, 4 indicators are selected for stability indicators, and 7 indicators are selected for process indicators. The weight of each indicator is set according to the enterprise's assessment requirements and the experience of the blast furnace master.

[0071] The scoring monitoring module 102 is used to perform process monitoring according to the scoring indicators selected by the indicator configuration module 101, and has the functions of scoring indicators by shift according to a preset period (for example, every day), monitoring performance, and issuing early warning prompts based on the indicator scores.

[0072] In the scoring monitoring of the job operation evaluation of the foreman of a steel enterprise, for example, the foreman of Shift B scored 42.56 for the total pressure difference index during the shift time of 00:00-08:00 on April 6, 2024, of which 0.63 exceeded the standard and the standard deviation was 5.87. Click the indicator score to view the performance curve of the 1-minute average value of the total pressure difference in the Shift B shift offset of 2h, that is, the time period of 02:00-10:00; set a red warning if it is below 60 points, a yellow warning if it is 60-70 points, and a red warning for this indicator.

[0073] The evaluation analysis module 103 is used to perform statistical analysis on the evaluation results, and has the functions of comprehensive score statistics of evaluation teams, comprehensive comparison of teams, indicator short board analysis, and classification correlation analysis.

[0074] In the evaluation analysis of the job operation evaluation of a foreman in a steel enterprise, the team comprehensive score statistics include comprehensive score, comprehensive improvement rate, result score rate, stability score rate, and process score rate. For example, on April 6, 2024, the foreman's corresponding scores for A, B, C, and D were: none (rest), 74.44, 70.44, and 66.29. From April 1 to April 6, the daily average scores were: 77.72, 75.67, 69.07, and 74.92. The team comprehensive comparison includes comprehensive score ranking, comprehensive improvement ranking, comprehensive loss index, poor result index, poor stability index, and poor process index. On April 6, 2024, the foreman's corresponding comprehensive rankings for A, B, C, and D were: none (rest), 1, 2, and 3. From April 1 to April 6, the daily average comprehensive rankings were: 1, 2, 4, and 3.

[0075] The evaluation improvement module 104 is used to improve the management of problems that arise in the evaluation. It has the function of entering the cause of the problem and suggested measures for scoring indicators with scores below a certain threshold, and analyzing the frequency, causes and suggested measures of low-scoring indicators within a time period.

[0076] In the evaluation improvement of the job operation evaluation of the foreman of a steel enterprise, for example, a score below 60 points is set as a problem indicator. On April 6, 2024, the team: Shift B, the indicator: full pressure difference, the score: 42.56, the reason: ***, the recommended measures: ***, the superior's review opinion: return / ignore / pass, the superior's remarks: ***; at the same time, all problem indicators below 60 points from April 1, 2024 to April 6, 2024 and the frequency of occurrence of each problem indicator are queried.

[0077] This application achieves a comprehensive and detailed evaluation of the operation process of the blast furnace foreman by constructing a comprehensive and scientific assessment index system, combining the actual situation of blast furnace production and management needs. At the same time, by optimizing the scoring rules and data analysis methods, the value of the assessment data is fully explored to provide strong support for the production management and talent management of the enterprise. By implementing this method and system, not only can the scientificity and fairness of the job operation evaluation of the blast furnace foreman be improved, but also management improvement and production efficiency improvement can be effectively promoted, laying a solid foundation for the sustainable development of steel enterprises.

[0078] Figure 5 is a block diagram of an employee operation evaluation device shown in an exemplary embodiment of the present application. The device can be applied to Figure 1 The implementation environment shown in the figure is specifically configured in the computer device 102. The device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applied.

[0079] like Figure 5 As shown, the exemplary employee operation evaluation device includes: an acquisition module 510 , a determination module 520 , a calculation module 530 and an evaluation module 540 .

[0080] Among them, the acquisition module 510 is used to obtain the target shift corresponding to the target employee, match the production data based on the target shift, and obtain the initial data; the determination module 520 is used to respond to the selection of the target indicator from the pre-established evaluation indicators, and determine the target data from the initial data according to the collection time corresponding to the target indicator and the target scoring item corresponding to the target indicator; the calculation module 530 is used to score based on the target data and the pre-set scoring rules to obtain the scoring result, wherein the scoring rule includes the mapping relationship between the target data and the scoring value corresponding to the target scoring item; the evaluation module 540 is used to evaluate the operation of the target employee according to the scoring result.

[0081] It should be noted that the employee operation evaluation device provided in the above embodiment and the employee operation evaluation method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In actual application, the employee operation evaluation device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0082] An embodiment of the present application also provides an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the electronic device implements the employee operation evaluation method provided in the above-mentioned embodiments.

[0083] Figure 6 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Figure 6 The computer system 600 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0084] like Figure 6 As shown, the computer system 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 602 or the program loaded from the storage part 608 to the random access memory (RAM) 603, such as executing the methods provided in the above-mentioned various embodiments. In the RAM 603, various programs and data required for system operation are also stored. The CPU 601, the ROM 602 and the RAM 603 are connected to each other through the bus 604. The input / output (I / O) interface 605 is also connected to the bus 604.

[0085] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed so that a computer program read therefrom is installed into the storage section 608 as needed.

[0086] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 609, and / or installed from a removable medium 611. When the computer program is executed by a central processing unit (CPU) 601, various functions defined in the system of the present application are executed.

[0087] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0088] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0089] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not constitute limitations on the units themselves in some cases.

[0090] Another aspect of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor of a computer, the computer executes the employee operation evaluation method provided in the above embodiments. The computer-readable storage medium may be included in the electronic device described in the above embodiments, or may exist independently without being assembled into the electronic device.

[0091] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0092] Another aspect of the present application also provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the employee operation evaluation method provided in each of the above embodiments.

[0093] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0094] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0095] The above embodiments are merely illustrative of the principles and effects of the present application, and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A method for evaluating employee operation, characterized in that: include: Obtaining a target shift corresponding to a target employee, matching production data based on the target shift, and obtaining initial data; In response to selecting a target indicator from pre-established evaluation indicators, determining target data from the initial data according to a collection duration corresponding to the target indicator and a target scoring item corresponding to the target indicator; Scoring is performed based on the target data and a preset scoring rule to obtain a scoring result, wherein the scoring rule includes a mapping relationship between the target data and the scoring value corresponding to the target scoring item; The operation of the target employee is evaluated according to the scoring result.

2. The employee operation evaluation method according to claim 1, characterized in that: Scoring is performed based on the target data and the preset scoring rules to obtain scoring results, including: Obtaining standard data corresponding to the target indicator, wherein the standard data is determined according to preset assessment requirements and / or historical production data; Calculating the target scoring item according to the target data and the standard data respectively; Determine a target evaluation rule from preset evaluation rules according to the matching result between the target scoring item and the pre-designed sub-items, match the calculation result with the target evaluation rule, and obtain a score value corresponding to the target scoring item, wherein the preset evaluation rule includes the score values ​​corresponding to each of the pre-designed sub-items; The scoring result is obtained by calculating the scoring value corresponding to the target scoring item.

3. The employee operation evaluation method according to claim 2, characterized in that: The method further comprises: Classifying the evaluation indicators based on the indicator classification standard to obtain indicator classification results, and assigning weights to the indicator classification results according to historical production data to obtain classification weights of the indicator classification results, wherein the indicator classification standard includes the position type and / or business type of the target employee; Determine the indicator weight of each evaluation indicator according to the historical production data and the classification weight, and determine the item weight of each scoring item according to the indicator weight and the historical production data; Calculate based on the score value corresponding to the target scoring item and the item weight corresponding to the target scoring item to obtain the indicator score corresponding to the target indicator; The scoring result is obtained by calculating according to the indicator score corresponding to the target indicator and the indicator weight corresponding to the target indicator.

4. The employee operation evaluation method according to claim 3, characterized in that: After scoring based on the target data and the preset scoring rules to obtain the scoring result, the method further includes: Scoring each of the evaluation indicators according to the target shifts in a preset cycle to obtain an indicator score corresponding to each of the evaluation indicators; Calculate the indicator scores corresponding to the indicator classification results and the evaluation indicators to obtain the category scores corresponding to the indicator classification results; If the indicator score is lower than the preset indicator score threshold and / or the category score is lower than the preset category score threshold, a warning prompt information is generated to issue a warning prompt to the target employee.

5. The employee operation evaluation method according to claim 4, characterized in that: After scoring each of the evaluation indicators according to the target shifts in a preset cycle and obtaining the indicator score corresponding to each of the evaluation indicators, the method further includes at least one of the following: If the indicator score is lower than the preset indicator score threshold, calculate the frequency of the indicator score being lower than the preset indicator score threshold within the preset period, perform grade classification according to the frequency, and evaluate the operation of the target employee according to the grade classification result; If the indicator score is lower than the preset indicator score threshold, the cause is analyzed according to the initial data, and corresponding recommended measures are generated according to the cause.

6. The employee operation evaluation method according to any one of claims 1 to 5, characterized in that: After scoring based on the target data and the preset scoring rules to obtain the scoring result, the method further includes: The scoring results are counted according to a preset statistical period to obtain a comprehensive score and improvement rate; The target employees are ranked according to the comprehensive scores and the improvement rates to obtain comprehensive rankings and improvement rankings, and the operations of the target employees are evaluated according to the comprehensive rankings and the improvement rankings.

7. The employee operation evaluation method according to any one of claims 1 to 5, characterized in that: In response to selecting the target indicator from the pre-established evaluation indicators, the method further includes: Establishing the evaluation indicators according to preset assessment requirements and / or historical production data; Based on each of the evaluation indicators and the preset time granularity corresponding to each of the evaluation indicators, setting a scoring item corresponding to each of the evaluation indicators; The collection time corresponding to each evaluation indicator is determined based on the historical production data.

8. An employee operation evaluation device, characterized in that: include: An acquisition module, used to acquire a target shift corresponding to a target employee, and match production data based on the target shift to obtain initial data; A determination module, configured to, in response to selecting a target indicator from pre-established evaluation indicators, determine the target data from the initial data according to a collection duration corresponding to the target indicator and a target scoring item corresponding to the target indicator; A calculation module, configured to perform scoring based on the target data and a preset scoring rule to obtain a scoring result, wherein the scoring rule includes a mapping relationship between the target data and a scoring value corresponding to the target scoring item; An evaluation module is used to evaluate the operation of the target employee according to the scoring result.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the electronic device to implement the employee operation evaluation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the employee operation evaluation method according to any one of claims 1 to 7.

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