Personnel automatic distribution method and system suitable for MES (Manufacturing Execution System), medium and equipment

Abstract

The invention discloses an automatic personnel allocation method and system suitable for an MES system, a medium and equipment, and the method comprises the following steps: S1, defining a skill label: defining the skill label, and obtaining and storing the skill label of an employee; s2, skill corresponding process: establishing a corresponding relationship between the skill label and the process; s3, production data acquisition: acquiring working data of the employees in a production process in real time; s4, data analysis: generating an employee portrait, and generating an employee skill feature median; s5, optimizing process parameters: adjusting process guidance parameters according to the skill characteristics of the employees in the step S4, and optimizing the production process; and S6, automatically allocating processes: recommending an optimal personnel combination according to the employee portraits and the processes involved in the production plan. The system has the advantages that the skills of the employees and the deficient skills are mastered, so that the employees are accurately allocated to proper posts, and the storage of human resources of enterprises and the reduction of labor cost are facilitated.

Description

Technical Field

[0001] The present invention relates to the field of computers, and in particular to an automatic personnel allocation method, system, medium and equipment applicable to a MES system. Background Art

[0002] The MES system (Manufacturing Execution System) is a software-based solution for monitoring and controlling the production process in the workshop during the manufacturing process. It acts as a bridge between the enterprise planning control system and the actual manufacturing operation, tracking and recording the transformation of raw materials to finished products in real time. In actual application, the existing MES system does not evaluate the work performance of employees, nor can it update the data in a timely manner, resulting in a high degree of divergence between the assigned personnel and the process, which is not conducive to the accurate allocation of personnel.

[0003] For example, a Chinese patent with publication number CN113570225A discloses an automatic employee position allocation management method based on MES and related equipment, which is applied to the MES system. The method includes: obtaining work orders from the production plan management database; obtaining the production process, production process and workstation designed by the designer from the process management database; associating the work order with the production process; according to the expected production time and the expected end time, obtaining the basic skill information and job skill information of the employees who can be allocated during this period from the personnel system database, and then automatically allocating employees to the production process to be allocated based on the obtained basic skill information, job skill information and the number of workstations of the production process to be allocated, and uploading the employee allocation result information to the personnel system database. In the above-mentioned automatic employee position allocation management method based on MES and related equipment, the skill information of the personnel cannot be collected and updated in a timely manner, and the automatic allocation of personnel cannot be accurately realized.

[0004] Another example is a Chinese patent with publication number CN116797164A, which discloses an MES management method and equipment, which relates to the field of furniture production MES management system. The invention includes setting the workstation type and completion mode according to the workstation data information, managing the operator information before setting the completion mode, establishing material cutting grouping rules according to the order declaration process, dividing the material cutting equipment and types according to the rules, and generating optimization files from them, and importing the files into the system to generate corresponding referee batches for material collection, issuing operator cards and management cards according to the operator information, and generating the start-up personnel data by attendance and start-up of management personnel. It can be achieved that when in use, the production staff can be effectively managed, and the production information can be effectively informed to the operation-level personnel and management-level personnel, so that they can track the production links of sales orders and update the production status information in real time, avoid the formation of information blind spots, and ensure the production of the workshop. In the above-mentioned MES management method and equipment, production personnel cannot be effectively assigned to the positions that best suit their skills.

[0005] In view of this, it is necessary to provide a method, system, medium and equipment for automatic personnel allocation applicable to the MES system. Summary of the invention

[0006] The present invention provides a method, system, medium and device for automatically allocating personnel in an MES system, which effectively solves the problem that the existing MES system cannot automatically allocate personnel.

[0007] The technical solution adopted by the present invention is:

[0008] An automatic personnel allocation method applicable to an MES system comprises the following steps:

[0009] S1. Define skill tags: Define skill tags, obtain and store the skill tags of individual employees;

[0010] S2. Skill-to-process correspondence: establish the correspondence between skill labels and processes;

[0011] S3. Production data collection: real-time collection of employees’ work data during the production process;

[0012] S4. Data analysis: Generate employee portraits and median employee skill characteristics;

[0013] S5, process parameter optimization: adjust process guidance parameters according to employee skill characteristics in S4 to optimize production process;

[0014] S6. Automatically allocate processes: recommend the best personnel combination based on employee portraits and processes involved in the production plan.

[0015] Furthermore, the skill tag includes multiple attributes, including scope of application and proficiency.

[0016] Furthermore, the skill tags of the employees in S1 are updated regularly.

[0017] Furthermore, the working data in S3 includes production time and production standardization.

[0018] Furthermore, the data analysis in S3 also includes collecting product data of the working process of the employees, and the product data includes product quality scores and product qualification rates. The skills of the employees are associated with the product data collected from the corresponding processes to establish a skill-process matrix.

[0019] Furthermore, the employee portrait includes strong skills, weak skills, suitable job recommendations, and training suggestions.

[0020] Furthermore, in S4, data cleaning is performed regularly to remove missing values ​​and outliers.

[0021] An automatic personnel allocation system applicable to an MES system, characterized in that: it includes:

[0022] The skill definition and employee information collection module is used to locate skill tags and obtain the skill tags possessed by individual employees.

[0023] The skill-to-process module is used to establish the correspondence between skill labels and processes.

[0024] The production data collection module is used to collect the work data of employees' work processes.

[0025] The data analysis module is used to generate employee portraits and median employee skill characteristics.

[0026] The process parameter optimization module is used to adjust process parameters and optimize the production process.

[0027] The automatic allocation module is used to automatically recommend the optimal personnel combination based on employee profiles and the processes involved in the production plan.

[0028] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for automatic personnel allocation applicable to the MES system are implemented. In addition, the computer-readable storage medium can adopt any combination of one or more readable storage media, wherein the readable storage medium includes an electrical, optical, electromagnetic, infrared or semiconductor system, device or device, or any combination thereof.

[0029] A computer device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein:

[0030] The memory is used to store computer programs.

[0031] The processor is used to execute the steps of the automatic personnel allocation method applicable to the MES system by running the program stored in the memory.

[0032] The communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. The communication interface is used for communication between the above terminal and other devices. The memory can include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory can also be at least one storage device located away from the above processor. The above processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0033] Beneficial effects of the invention:

[0034] 1. By updating employees' skills in a timely manner and mastering the skills that employees have and lack, we can accurately assign employees to suitable positions. By finding out the skills that employees lack, we can facilitate subsequent targeted training for their deficiencies, which is beneficial to improving employees' personal abilities and also helps to reserve human resources and reduce labor costs.

[0035] 2. By analyzing the products produced by employees, and through information such as the quality, quantity and yield of products per unit time, reverse analysis of employees' personal skills can be carried out to ensure accurate grasp of employees' skills.

[0036] 3. Evaluate employees by incorporating production specifications into work data to achieve more accurate certification of employee skills.

[0037] 4. A single skill tag includes multiple attributes such as scope of application and proficiency, which can make the skill information displayed by a single skill tag more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A flowchart of a method for automatic personnel allocation applicable to an MES system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0040] like Figure 1 As shown, the first embodiment provided by the present application is a method for automatically allocating personnel applicable to an MES system, comprising the following steps:

[0041] S1. Define skill tags: Define skill tags, obtain and store the skill tags of individual employees;

[0042] S2. Skill-to-process correspondence: establish the correspondence between skill labels and processes;

[0043] S3. Production data collection: real-time collection of employees’ work data during the production process;

[0044] S4. Data analysis: Generate employee portraits and median employee skill characteristics;

[0045] S5, process parameter optimization: adjust process guidance parameters according to employee skill characteristics in S4 to optimize production process;

[0046] S6. Automatically allocate processes: recommend the best personnel combination based on employee portraits and processes involved in the production plan.

[0047] In the above design, a database can be established between employees and various processes, and the database can be used to automatically screen out the most suitable process for each employee, thereby achieving effective management and improvement of employee skills, and further improving production line production quality and efficiency.

[0048] Specifically: the skill tag includes multiple attributes, including application scope, proficiency, quantity calculation formula, etc.

[0049] In the above design, by defining multiple attributes for a skill tag, the skill information corresponding to the skill tag can be made more intuitive, and the skills possessed by employees can be evaluated comprehensively through the skill tag.

[0050] Specifically: the skill tags possessed by the employees in S1 are updated regularly.

[0051] In the above design, by timely updating employee skill labels, it is possible to timely update the skills of employees with different years of service and who have worked in different work positions, thereby preventing the information displayed by the skill labels from lagging behind the actual skills possessed by the employees.

[0052] Specifically: the work data in S3 includes production time and production standardization (the degree of compliance with standard operating procedures). Data is collected in real time by deploying data collection equipment at corresponding workstations.

[0053] In the above design, by collecting and analyzing work data such as production time and production standardization, the sample range of employee skill evaluation can be increased to ensure the accuracy of employee work skill evaluation.

[0054] Specifically: the data analysis in S3 also includes collecting product data of the working process of the employees, the product data includes product quality scores and product qualification rates, and associating the skills of the employees with the product data collected from the corresponding processes to establish a skill-process matrix.

[0055] In the above design, by collecting product data of the employee's work process and analyzing the quality and quantity of the products, the employee's work skills can be traced back to further evaluate the employee's work ability.

[0056] Specifically: the employee portrait includes strong skills, weak skills, suitable job recommendations, and training suggestions.

[0057] In the above design, by comprehensively analyzing the strengths and weaknesses of employees, it is easy to discover the strengths of employees and find their shortcomings, so as to formulate the direction of employee training and appointment. Through job recommendation, it is possible to automatically recommend positions for employees, and through training suggestions, it is possible to provide timely training plans for employees' shortcomings.

[0058] Specifically: In S4, data cleaning is performed regularly to remove missing values ​​and outliers.

[0059] In the above design, the authenticity of the data is ensured by regularly cleaning the data.

[0060] The present application provides a second embodiment, which is an automatic personnel allocation system applicable to an MES system, including:

[0061] The skill definition and employee information collection module is used to locate skill tags and obtain the skill tags possessed by individual employees.

[0062] The skill-to-process module is used to establish the correspondence between skill labels and processes.

[0063] The production data collection module is used to collect the work data of employees' work processes.

[0064] The data analysis module is used to generate employee portraits and median employee skill characteristics.

[0065] The process parameter optimization module is used to adjust process parameters and optimize the production process.

[0066] The automatic allocation module is used to automatically recommend the optimal personnel combination based on employee profiles and the processes involved in the production plan.

[0067] The present application provides a third embodiment, which is a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the automatic personnel allocation method applicable to the MES system are implemented.

[0068] In addition, the computer-readable storage medium of this embodiment may adopt any combination of one or more computer-readable storage media, wherein the computer-readable storage medium includes electrical, optical, electromagnetic, infrared or semiconductor systems, devices or components, or any combination thereof.

[0069] The present application provides a fourth embodiment, which is a computer device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; wherein:

[0070] The memory is used to store computer programs;

[0071] The processor is used to execute the steps of the automatic personnel allocation method applicable to the MES system by running the program stored in the memory.

[0072] As an embodiment of the present invention, the communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0073] As an implementation mode of the present invention, the communication interface is used for communication between the above-mentioned terminal and other devices.

[0074] As an embodiment of the present invention, the memory may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0075] As an embodiment of the present invention, the above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0076] To further explain in detail, it should be understood that the above is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The automatic personnel allocation method applicable to the MES system is characterized by: The steps include: S1. Define skill tags: Define skill tags, obtain and store the skill tags of individual employees; S2. Skill-to-process correspondence: establish the correspondence between skill labels and processes; S3. Production data collection: real-time collection of employees’ work data during the production process; S4. Data analysis: Generate employee portraits and median employee skill characteristics; S5, process parameter optimization: adjust process guidance parameters according to employee skill characteristics in S4 to optimize production process; S6. Automatically allocate processes: recommend the best personnel combination based on employee portraits and processes involved in the production plan.

2. The method for automatic personnel allocation applicable to the MES system according to claim 1, characterized in that: The skill tag includes multiple attributes, including scope of application and proficiency.

3. The automatic personnel allocation method applicable to the MES system according to claim 1 is characterized in that: The skill tags possessed by the employees in S1 are updated regularly.

4. The method for automatic personnel allocation applicable to the MES system according to claim 1, characterized in that: The work data in S3 includes production time and production standardization.

5. The method for automatic personnel allocation applicable to the MES system according to claim 1, characterized in that: The data analysis in S3 also includes collecting product data of the working process of the employee, and the product data includes product quality score and product qualification rate, and associating the employee's skills with the product data collected from the corresponding process to establish a skill-process matrix.

6. The method for automatic personnel allocation applicable to the MES system according to claim 1, characterized in that: The employee profile includes strong skills, weak skills, suitable job recommendations and training suggestions.

7. The method for automatic personnel allocation applicable to the MES system according to claim 1, characterized in that: In S4, data cleaning is performed regularly to remove missing values ​​and outliers.

8. An automatic personnel allocation system applicable to the MES system, characterized by: include, Skill definition and employee information collection module, used to locate skill tags and obtain the skill tags possessed by individual employees; The skill-to-process module is used to establish the correspondence between skill labels and processes; Production data collection module, used to collect work data of employees' working processes; Data analysis module, used to generate employee portraits and median employee skill characteristics; Process parameter optimization module, used to adjust process parameters and optimize production processes; The automatic allocation module is used to automatically recommend the optimal personnel combination based on employee profiles and the processes involved in the production plan.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for automatic personnel allocation applicable to an MES system according to any one of claims 1 to 7 are implemented.

10. A computer device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein The processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the automatic personnel allocation method applicable to the MES system according to any one of claims 1 to 7 by running the program stored in the memory.

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