Method and related apparatus and medium or program product for determining employee operating capacity
By acquiring production work order information, dividing production equipment into groups, and calculating yield rate and production efficiency compliance rate, the problem of employee equipment operation allocation relying on the subjective evaluation of managers was solved, and a fast and accurate assessment of employee operation capabilities was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HOPE ZHIZHOU TECH (SHENZHEN) CO LTD
- Filing Date
- 2022-06-15
- Publication Date
- 2026-07-03
AI Technical Summary
In existing technologies, the allocation of equipment operation to employees relies on the subjective evaluation of managers, which makes it difficult for employees to fully utilize their knowledge and skills and to maximize their work potential.
By obtaining the production work order information of the target employees, the production equipment groups are divided and the yield rate and production efficiency target achievement rate are calculated to determine the operational ability level of the employees.
It enables the rapid and accurate determination of employee operational capabilities, reduces labor costs, and improves the accuracy and efficiency of judgment.
Smart Images
Figure CN115239196B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of manufacturing, and specifically relates to a method for determining the operational capabilities of employees and related devices, media, or program products. Background Technology
[0002] Currently, in order to improve product production efficiency, manufacturers have introduced a variety of production equipment for processing products, with different types of production equipment corresponding to different processing steps.
[0003] Since different types of production equipment have different operational difficulties, currently, the allocation of personnel to operate the equipment largely relies on managers' subjective evaluation of employees' abilities to assign work tasks. This work task allocation model easily leads to employees being limited to a certain type of work task, making it difficult to improve and enhance employees' knowledge, skills, and work methods, and failing to bring out the maximum work potential of employees. Summary of the Invention
[0004] This application provides a method and related apparatus for determining an employee's operational competence, so as to quickly and accurately determine the level of an employee's operational competence.
[0005] Firstly, this application provides a method for determining an employee's operational capabilities, applied to a server, comprising:
[0006] Obtain information from multiple production work orders of the target employee. Each production work order includes the operation difficulty level of the production equipment operated by the target employee and the number of production batches completed by the target employee through the production equipment.
[0007] Based on the information, the yield rate corresponding to each production equipment group in the multiple production equipment groups is determined. The production equipment group is a collection of production equipment in the multiple production work orders, which are divided according to the level of operational difficulty. The yield rate is obtained based on a first quantity and a total quantity. The first quantity is the number of production batches corresponding to the production equipment group that have reached the preset quality, and the total quantity is the total number of production batches corresponding to the production equipment group.
[0008] Based on the information, the production efficiency target rate corresponding to each of the plurality of production equipment groups is determined. The production efficiency target rate is obtained based on a second quantity and the total quantity. The second quantity is the number of production batches whose processing time is less than the preset processing time.
[0009] Based on the yield rate and the production efficiency achievement rate of each of the multiple production equipment groups, the production equipment group for which the target employee's operation meets the standard is determined, and the determination result is obtained.
[0010] The level of the target employee's operational ability is determined based on the determination results.
[0011] Secondly, this application provides an apparatus for determining an employee's operational competence, comprising:
[0012] The acquisition unit is used to acquire information from multiple production work orders of the target employee. Each production work order includes the operation difficulty level of the production equipment operated by the target employee and the number of production batches completed by the target employee through the production equipment.
[0013] The first determining unit is used to determine the yield rate of each production equipment group in the plurality of production equipment groups according to the information. The production equipment group is a collection of production equipment in the plurality of production work orders that are divided according to the level of operational difficulty. The yield rate is obtained based on a first quantity and a total quantity. The first quantity is the number of production batches corresponding to the production equipment group that have reached a preset quality. The total quantity is the total number of production batches corresponding to the production equipment group.
[0014] The second determining unit is used to determine the production efficiency compliance rate of each of the plurality of production equipment groups according to the information. The production efficiency compliance rate is obtained based on a second quantity and the total quantity. The second quantity is the number of production batches whose processing time is less than a preset processing time.
[0015] The third determining unit is used to determine the production equipment group in which the target employee's operation meets the standard based on the yield rate and the production efficiency compliance rate of each of the plurality of production equipment groups, and to obtain the determining result.
[0016] The judgment unit is used to determine the level of the target employee's operational ability based on the determination result.
[0017] Thirdly, this application provides an electronic device, comprising:
[0018] One or more processors;
[0019] One or more memories are used to store programs.
[0020] The one or more memories and the program are configured such that the one or more processors control the electronic device to execute instructions for steps as described in any of the methods of the first aspect of the embodiments of this application.
[0021] Fourthly, this application provides a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform some or all of the steps described in any of the methods of the first aspect of the embodiments of this application.
[0022] Fifthly, this application provides a computer program operable to cause a computer to perform some or all of the steps described in any of the methods of the first aspect of the embodiments of this application. The computer program may be a software installation package.
[0023] As can be seen, in this embodiment, by acquiring information from multiple production work orders of the target employee, the system determines the production equipment operated by the target employee, the operational difficulty level of the production equipment, and the number of production batches completed by the production equipment. Based on the operational difficulty level of the production equipment, equipment of the same level is grouped into production equipment groups. The system then determines the yield rate and production efficiency target achievement rate for each production equipment group. The yield rate is calculated by the sum of the first number of production batches whose product quality meets the preset quality and the total number of production batches completed by the target employee operating the production equipment within the group. The production efficiency target achievement rate is calculated by the sum of the second number of production batches whose processing time is less than the preset processing time and the total number of production batches completed by the target employee operating the production equipment within the group. By determining the production equipment groups for which the target employee has achieved the target achievement rate based on the yield rate and production efficiency target achievement rate for each production equipment group, the system can determine the target employee's skill level. This solution uses an automated process to determine the employee's operational skill level, reducing manual determination costs and improving the accuracy and efficiency of the judgment. Attached Figure Description
[0024] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0025] Figure 1 This is a schematic diagram of a server provided in an embodiment of this application;
[0026] Figure 2 This is a flowchart illustrating a method for determining employee operational capabilities according to an embodiment of this application;
[0027] Figure 3 This is a schematic diagram of the production work order of employee a provided in an embodiment of this application;
[0028] Figure 4 This is a block diagram of the functional units of a device for determining an employee's operational ability provided in an embodiment of this application. Detailed Implementation
[0029] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.
[0030] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.
[0031] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0032] The key concepts involved in the embodiments of this application will be explained below.
[0033] Production work order: One employee per shift, such as morning, afternoon, and evening shifts, corresponds to one work order. Work orders are used to track the working hours of frontline employees. Each production work order includes information about the production equipment operated by an employee within a certain period of time, the difficulty level of the production equipment, and the number of production batches processed by the operated production equipment.
[0034] Production batch: The same batch of materials processed by the same production equipment is collectively referred to as the same production batch.
[0035] Please see Figure 1 , Figure 1 This is a schematic diagram of a server provided in an embodiment of this application. Figure 1 As shown, the server includes one or more processors 120, a memory 130, a communication module 140, and one or more programs 131. The processor 120 is communicatively connected to the memory 130 and the communication module 140 via an internal communication bus.
[0036] The one or more programs 131 are stored in the memory 130 and executed by the processor 120. The one or more programs 131 include instructions for performing any step in the above method embodiments.
[0037] The processor 120 may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, units, and circuits described in conjunction with the disclosure of this application. The processor may also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The communication unit may be a communication module 140, a transceiver, a transceiver circuit, etc., and the storage unit may be a memory 130.
[0038] The memory 130 can be volatile memory or non-volatile memory, or it can include both. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).
[0039] In a specific implementation, the processor 120 is used to execute any of the steps in the following method embodiments.
[0040] This application provides a method for determining an employee's operational capabilities. The following is a detailed description of this application.
[0041] Please see Figure 2 , Figure 2 This is a flowchart illustrating a method for determining employee operational capabilities provided in an embodiment of this application. Figure 2 As shown, a method for determining employee operational capabilities, applied to a server, includes:
[0042] Step 210: Obtain information from multiple production work orders of the target employee. Each production work order includes the operation difficulty level of the production equipment operated by the target employee, and the number of production batches completed by the target employee using the production equipment.
[0043] In practice, when an employee operates one or more production machines to process materials within a certain period, a corresponding production work order is generated for that period. The production work order includes the employee's ID, information about the production machine operated by the employee, the difficulty level of the machine, and the number of production batches completed by the employee within the corresponding time period. Please refer to [link / reference]. Figure 3 , Figure 3 This is a schematic diagram of the production work order for employee a provided in this application embodiment. Employee a's employee number is 100000. Since employee a processes materials in two different time periods, two production work orders are generated for employee a: Production Work Order 1 and Production Work Order 2. During the morning shift, employee a operates production equipment 1 and production equipment 2 to process materials. Production equipment 1 completes two production batches, and production equipment 2 completes two production batches. During the evening shift, employee a operates production equipment 2 to process one production batch. Production equipment 1 is a medium-level production equipment, and production equipment 2 is a high-level production equipment. Therefore, production work order 1 records employee a's employee number 100000, the start and end times of the morning shift, the equipment level of production equipment 1 and production equipment 2 operated by employee a during the corresponding time period of the morning shift, and the number of production batches completed by employee a using production equipment 1 and production equipment 2. Similarly, production work order 2 records employee a's employee number 100000, the start and end times of the evening shift, the equipment level of production equipment 2 operated by employee a during the corresponding time period of the evening shift, and the number of production batches completed by employee a using production equipment 2.
[0044] Step 220: Determine the yield rate of each production equipment group in the multiple production equipment groups based on the information. The production equipment group is a collection of production equipment in the multiple production work orders, categorized according to operational difficulty levels. The yield rate is obtained based on a first quantity and a total quantity. The first quantity is the number of production batches corresponding to the production equipment group that meet a preset quality standard, and the total quantity is the total number of production batches corresponding to the production equipment group.
[0045] In practice, employee production work orders record information such as employee ID, the production equipment operated by the employee, the difficulty level of the equipment, and the number of production batches completed by the employee within the corresponding time period. They also include information on the product quality and processing time for each batch. To determine the operational capabilities of a target employee, information from multiple production work orders is obtained, specifically identifying the production equipment the employee has operated and the difficulty level of each piece of equipment. Based on the difficulty level of each piece of equipment, the equipment operated by the target employee is categorized, grouping equipment of the same difficulty level together. This yields multiple equipment groups corresponding to the target employee. Based on the information from multiple production work orders, the first number of production batches achieving the preset product quality for each equipment group is determined, along with the total number of production batches completed for each equipment group, thus determining the yield rate for each equipment group. Grouping equipment of the same difficulty level together allows for quick assessment of whether an employee is suitable for operating that level of equipment.
[0046] Step 230: Determine the production efficiency compliance rate for each of the plurality of production equipment groups based on the information. The production efficiency compliance rate is obtained based on a second quantity and the total quantity, where the second quantity is the number of production batches with a processing time less than a preset processing time.
[0047] In practice, based on information from multiple production work orders, the second number of production batches whose processing time is less than the preset processing time for each production equipment group is obtained, as well as the total number of production batches that have been processed. The production efficiency target achievement rate for each production equipment group is determined based on the second number and the total number.
[0048] Step 240: Determine the production equipment group for which the target employee operation meets the standard based on the yield rate and the production efficiency compliance rate of each of the multiple production equipment groups, and obtain the determination result.
[0049] In practice, based on the yield rate and production efficiency compliance rate of each production equipment group, the production equipment group for which the target employee's operation meets the standard is determined. For example, based on information from multiple production work orders, the production equipment group corresponding to the target employee is determined to include advanced production equipment group, intermediate production equipment group, and low-level production equipment group. Based on the yield rate and production efficiency compliance rate of the advanced production equipment group, it is determined that the target employee's operation meets the standard when operating the production equipment of the advanced production equipment group. Therefore, it is determined that the production equipment group for which the target employee's operation meets the standard includes the advanced production equipment group. Similarly, the yield rate and production efficiency compliance rate of the intermediate production equipment group and the low-level production equipment group are obtained respectively to determine whether the target employee's operation meets the standard, thereby generating a determination result.
[0050] Step 250: Determine the level of the target employee's operational ability based on the determination result.
[0051] Among these, the level of operational ability of the target employee is determined based on the determined results.
[0052] As can be seen in this example, the production equipment with different difficulty levels to be operated by the target employee can be determined based on the information in multiple production work orders. The production equipment can be grouped according to the difficulty level to form different production equipment groups. The yield rate and production efficiency compliance rate of different production equipment groups can be determined. Based on the yield rate and production efficiency compliance rate, it can be determined whether the target employee can operate the production equipment of that level, thereby evaluating the target employee's operational ability and improving the efficiency and accuracy of the judgment.
[0053] In one possible example, determining the production equipment group for which the target employee's operation meets the standard based on the yield rate and the production efficiency compliance rate of each of the plurality of production equipment groups, and obtaining the determination result, includes: judging the magnitude of the yield rate corresponding to each of the plurality of production equipment groups and a preset yield rate, and judging the magnitude of the production efficiency compliance rate and a preset production efficiency compliance rate; if the yield rate is greater than the preset yield rate, and the production efficiency compliance rate is greater than the preset production efficiency compliance rate, then it is determined that the target employee's operation when operating the production equipment of the production equipment group meets the standard, and the determination result is generated.
[0054] In practice, after obtaining the yield rate and production efficiency target achievement rate of each production equipment group in the target employee's multiple production equipment groups, the method for determining whether the target employee can operate a particular production equipment group is as follows: compare the yield rate of each production equipment group with the preset yield rate, and compare the production efficiency target achievement rate of each production equipment group with the preset production efficiency target achievement rate. If the yield rate of the production equipment group is greater than the preset yield rate, and the production efficiency target achievement rate is greater than the preset production efficiency target achievement rate, then the production equipment in that production equipment group is determined to be the production equipment that the target employee can operate. For example, the production equipment groups corresponding to the target employee include advanced production equipment groups, intermediate production equipment groups, and low-level production equipment groups. Obtain the yield rate and production efficiency compliance rate corresponding to the advanced production equipment group. The yield rate is the ratio of the number of production batches that meet the preset quality through the advanced production equipment group to the total number of production batches completed. The production efficiency compliance rate is the ratio of the number of production batches whose processing time is less than the preset processing time to the total number of production batches completed. Based on the above method, obtain the yield rate and production efficiency compliance rate corresponding to the intermediate production equipment group, and obtain the yield rate and production efficiency compliance rate corresponding to the low-level production equipment group. Determine whether the target employee can operate the production equipment of different production equipment groups based on the yield rate and production efficiency compliance rate of different production equipment groups, and generate a determination result. If the yield rate corresponding to the advanced production equipment group is 99.1%, and the preset yield rate is 99%, and the production efficiency compliance rate corresponding to the advanced production equipment group is 99.1%, and the preset production efficiency compliance rate is 99%, since the yield rate corresponding to the advanced production equipment group is greater than the preset yield rate, and the production efficiency compliance rate is greater than the preset production efficiency compliance rate, then it is determined that the target employee can operate the production equipment of this level, and a determination result is generated. Similarly, if the yield rate of the intermediate production equipment group is 99.1%, and the preset yield rate is 99%, and the production efficiency target rate of the intermediate production equipment group is 99.1%, and the preset production efficiency target rate is 99%, then since the yield rate of the intermediate production equipment group is greater than the preset yield rate and the production efficiency target rate is greater than the preset production efficiency target rate, it is determined that the target employee can operate the production equipment of this level. It is understood that the preset yield rate and production efficiency target rate can be set according to actual needs, for example, they can be set to 89% and 88%, respectively; there are no specific restrictions here. It is also understood that the preset yield rate and preset production efficiency target rate can be different for different levels of production equipment groups. For example, the preset yield rate and preset production efficiency target rate for the advanced production equipment group are 80%, and the preset yield rate and preset production efficiency target rate for the intermediate production equipment group are 90%; there are no specific restrictions here.
[0055] As can be seen, in this example, the comparison results of the yield rate corresponding to each production equipment group with the preset yield rate, and the comparison results of the production efficiency achievement rate with the preset production efficiency achievement rate, are used to determine whether the target employee meets the standard for operating the production equipment group. This is to determine whether the target employee is suitable for operating the production equipment of this level of difficulty, thereby improving the accuracy of the determination results and the credibility of the results of judging the target employee's operating ability.
[0056] In one possible example, determining the level of the target employee's operational ability based on the determination result includes: obtaining the determination result of the target employee; determining the number of production equipment groups in the determination result in which the target employee's operation meets the standard; and determining the level of the target employee's operational ability based on the number of production equipment groups in which the target employee's operation meets the standard.
[0057] In practice, a definite result is obtained. Based on this result, it can be determined whether the operation of each production equipment group among the multiple production equipment groups operated by the target employee meets the standards. This determines the number of production equipment groups that the target employee has operated at the standard. The more production equipment groups that have been operated at the standard, the higher the corresponding equipment operation evaluation index. According to the pre-set correspondence between the equipment operation evaluation index and the employee's operation ability level, the target employee's ability level is determined. The higher the employee's corresponding ability level, the higher the level of difficulty of the production equipment that the employee is suitable to operate. For example, if the target employee meets the standards for operating advanced, intermediate, and basic production equipment groups, then the number of equipment groups that meet the standards is 3, the corresponding equipment operation evaluation index is 3, and the employee's corresponding operation ability level is 3. Therefore, the employee can operate advanced, intermediate, and basic production equipment. If the target employee meets the standards for operating intermediate and basic production equipment, then the number of equipment groups that meet the standards is 2, the corresponding equipment operation evaluation index is 2, and the employee's operation ability level is 2. Therefore, the employee can operate intermediate and basic production equipment but cannot operate advanced production equipment. If the target employee meets the standards for operating production equipment with a difficulty level of low, then the number of equipment groups that meet the standards is 1, the corresponding equipment operation evaluation index is 1, and the employee's operation ability level is 1. Therefore, the employee can operate basic production equipment but cannot operate advanced or intermediate production equipment. The highest level of operational capability is level 3, and the lowest is level 1. Once the highest operational difficulty level of the production equipment that an employee can operate is determined, then the employee can operate production equipment with an operational difficulty level lower than that highest level, but cannot operate production equipment with an operational difficulty level higher than that highest level. It is understood that the operational difficulty level of the production equipment and the employee's operational capability level can be determined based on actual needs, and the specific number of levels is not limited here.
[0058] As can be seen, in this example, the operational ability of the target employee can be quickly and accurately judged by calculating the number of production equipment that the target employee operates at the required standard. Furthermore, since the number of production equipment that the target employee operates at the required standard is determined based on the yield rate and production efficiency of the production batches completed by the target employee operating the production equipment, the accuracy of the judgment result is further improved, and the credibility of the judgment result is enhanced.
[0059] In one possible example, determining the level of the target employee's operational ability based on the determination result includes: obtaining the determination result of the target employee; determining the highest operational difficulty level among the multiple production equipment groups in the determination result where the target employee's operation meets the standard; and determining the level of the target employee's operational ability based on the highest operational difficulty level.
[0060] In practice, the target employee can operate production equipment at or below the difficulty level of the operation. After obtaining the target employee's assessment result, this result is parsed to determine the production equipment groups from which the target employee's operation meets the required standards. The corresponding level of the production equipment groups that meet the standards is extracted, and the highest difficulty level is determined. The target employee's operational ability level can then be determined based on this highest difficulty level. For example, the production equipment groups corresponding to the target employee include: advanced production equipment group, intermediate production equipment group, and low-level production equipment group. The assessment results for the target employee include: the target employee's operation is not up to standard when operating production equipment in the advanced production equipment group; the target employee's operation is up to standard when operating production equipment in the intermediate production equipment group; and the target employee's operation is up to standard when operating production equipment in the low-level production equipment group. Therefore, the highest difficulty level of the production equipment group corresponding to the target employee's operation result being up to standard is determined to be intermediate. Based on the pre-defined correspondence between the difficulty levels of production equipment groups and the employee's operational ability levels, the target employee's ability level is thus determined. For example, if the highest level of the production equipment group in which an employee meets the operational standards is advanced, and the employee's operational ability level is 3, then this employee can operate production equipment with difficulty levels of advanced, intermediate, and low. If the highest level in the production equipment group in which an employee meets the operational standards is intermediate, and the employee's operational ability level is 2, then this employee can operate production equipment with difficulty levels of intermediate and low. If the highest level in the production equipment group in which an employee meets the operational standards is low, and the employee's operational ability level is 1, then this employee can operate production equipment with a difficulty level of low. Based on the above correspondence between the operational difficulty levels of the production equipment group and the employee's operational ability level, this employee's operational ability level is 2. It is understood that the operational difficulty level of the production equipment and the employee's operational ability level can be determined based on actual needs, and no specific restrictions are imposed here.
[0061] As can be seen, in this example, judging the operational ability of the target employee based on the determination result of the target employee makes the judgment result accurate and improves the credibility of the result of judging the operational ability of the target employee.
[0062] In one possible example, determining the yield rate of each production equipment group among multiple production equipment groups based on the information includes: obtaining the total number of production batches processed by each production equipment group within the information; obtaining the number of production batches marked as equipment malfunctions corresponding to the production equipment group; subtracting the number of production batches marked as equipment malfunctions from the total number to obtain a third number; obtaining the first number of production batches corresponding to the production equipment group whose quality reaches a preset quality; and obtaining the ratio of the first number to the third number, wherein the ratio is the value of the yield rate.
[0063] In practice, when production equipment malfunctions, it affects the quality of products produced by employees, thus impacting the assessment of their operational skills. The server checks if a production batch has a corresponding equipment malfunction marker. If so, it counts the number of production batches marked as faulty. The total number of production batches processed by that equipment group is subtracted from the number of batches marked as faulty to obtain a third quantity. This third quantity is then used to determine the first quantity of production batches that meet the preset quality standard. Dividing the first quantity by the third quantity determines the yield rate. Specifically, determining whether a production batch's product quality meets the preset quality standard can be achieved by extracting data from the middle section of each production batch. If this data falls within a preset parameter range, the production batch's product quality is considered to have met the preset quality standard.
[0064] In one possible example, the yield rate of each production machine in the production equipment group operated by the employee is obtained. It is then determined whether the yield rate of the production machine is significantly lower than the preset yield rate. For example, the preset yield rate is 95%, and a production batch produced by the production machine needs to reach 95% to be considered qualified. When the yield rate of the production machine is 90%, it is significantly lower than the preset yield rate, indicating that the quality of the produced product is seriously unqualified. Furthermore, if the yield rate of other production batches produced by the employee operating other production machines of the same level is all 95%, it indicates that there may be an anomaly in the production machine used by the employee to produce that batch. Therefore, information such as the production batch produced by the employee operating the production machine and the start time of each production batch is obtained to generate an anomaly alert message, which is sent to the terminal device. This anomaly alert message is used to remind the management personnel to determine whether there is an anomaly during the production of the production machine. After the server receives the message from the management personnel confirming that the machine is abnormal, it determines the production batch corresponding to the abnormality of the production machine and obtains the quantity of the production batch produced when the machine was abnormal.
[0065] As can be seen, in this example, the impact of equipment malfunctions and other factors on the employee yield rate is automatically excluded, thereby improving the accuracy of the determined yield rate and thus improving the accuracy of the judgment result.
[0066] In one possible example, determining the production efficiency compliance rate for each of the plurality of production equipment groups based on the information includes: obtaining the total number of production batches processed by each production equipment group based on the information; obtaining the processing time for each production batch in each production equipment group based on the information; comparing the processing time of each production batch in each production equipment group with a preset processing time to obtain a fourth number of production batches whose processing time is less than the preset processing time; and obtaining the ratio of the fourth number to the total number, wherein the ratio is the production efficiency compliance rate for the production equipment group.
[0067] In practice, based on information from multiple production work orders, the processing time for each production batch produced by each production equipment in the production equipment group is obtained. It is then determined whether the processing time for each production batch exceeds the preset processing time. If so, the processing efficiency of that production batch is deemed unqualified. If it does not exceed the preset time, the processing efficiency of that production batch is deemed qualified. After determining the processing time for each production batch in the production equipment group, the fourth number of production batches with qualified production efficiency in that production equipment group is counted. The value of the fourth number divided by the total number is the production efficiency compliance rate of the production equipment group.
[0068] As can be seen, in this example, the operational efficiency of the target employee in operating the production equipment is combined to judge the operational ability of the target employee, thereby improving the accuracy of the judgment result.
[0069] In one possible example, determining the production efficiency compliance rate for each of the plurality of production equipment groups based on the information includes: obtaining the total number of production batches completed by each production equipment group within the information; obtaining the number of production batches marked as equipment malfunctions for each production equipment group; subtracting the number of production batches marked as equipment malfunctions from the total number to obtain a fifth number; obtaining the processing time for each production batch in each production equipment group based on the information; comparing the processing time of the production batches in each production equipment group with a preset processing time to obtain a sixth number of production batches whose processing time is less than the preset processing time; and obtaining the ratio of the sixth number to the fifth number, wherein the ratio is the production efficiency compliance rate for the production equipment group.
[0070] In practice, when production equipment malfunctions, it can affect the quality of products produced by employees, thus impacting the assessment of the target employee's operational ability level. Therefore, when determining the production efficiency target rate for each production equipment group, it is necessary to mark the number of production batches marked as equipment malfunctions as abnormal. The total number of production batches processed by the production equipment group is subtracted from the number of production batches marked as equipment malfunctions to obtain the fifth quantity. The second quantity is obtained by dividing the second quantity by the fifth quantity.
[0071] As can be seen, in this example, the impact of equipment malfunctions and other factors on the employee's yield rate is eliminated, thus improving the accuracy of the yield rate and consequently the accuracy of the judgment result.
[0072] In one possible example, before the step of obtaining multiple production work orders for the target employee, multiple production work orders for different employees are obtained, and each employee's work order is sent to its corresponding manager. After verification, the work order is stored on different blockchain nodes to ensure the authenticity of the work order information for each employee. Upon receiving an instruction message, the server executes the step of obtaining multiple production work orders for the target employee according to the instruction message, whereby the instruction message instructs the server to obtain multiple production work orders for the target employee. This ensures data reliability and traceability.
[0073] In one possible example, the server in this solution is used in a server-terminal device system. The terminal device can be a mobile phone, computer, smartwatch, wireless terminal in industrial control, etc. Specifically, the terminal device sends an instruction message to the server, which instructs the server to obtain multiple production work orders for the target employee and determine the target employee's operational capabilities based on these work orders. After determining the target employee's operational capabilities, the server sends a feedback message to the terminal device, which then displays the content of the feedback message on a screen for the user to view.
[0074] This application provides an apparatus for determining employee operational competence, which can be an electronic device. Specifically, the apparatus for determining employee operational competence is used to perform the steps of the above-described method for determining employee operational competence. The apparatus provided in this application may include modules corresponding to the respective steps.
[0075] This application embodiment can divide the device for determining employee operational capabilities into functional modules based on the above method example. For example, each function can be divided into its own functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. The module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.
[0076] When dividing each function into modules according to its corresponding function, please refer to [link / reference]. Figure 4 , Figure 4 This is a block diagram of the functional units of a device for determining an employee's operational ability provided in an embodiment of this application.
[0077] An apparatus for determining an employee's operational competence, comprising:
[0078] The acquisition unit 410 is used to acquire information from multiple production work orders of the target employee. Each production work order includes the operation difficulty level of the production equipment operated by the target employee and the number of production batches completed by the target employee through the production equipment.
[0079] The first determining unit 420 is used to determine the yield rate of each production equipment group in the plurality of production equipment groups according to the information. The production equipment group is a collection of production equipment in the plurality of production work orders divided according to the level of operational difficulty. The yield rate is obtained based on a first quantity and a total quantity. The first quantity is the number of production batches corresponding to the production equipment group whose quality reaches a preset quality. The total quantity is the total number of production batches corresponding to the production equipment group.
[0080] The second determining unit 430 is used to determine the production efficiency compliance rate of each of the plurality of production equipment groups according to the information. The production efficiency compliance rate is obtained based on a second quantity and the total quantity. The second quantity is the number of production batches whose processing time is less than a preset processing time.
[0081] The third determining unit 440 is used to determine the production equipment group in which the target employee's operation meets the standard based on the yield rate and the production efficiency compliance rate of each of the plurality of production equipment groups, and to obtain a determination result.
[0082] The judgment unit 450 is used to determine the level of the target employee's operational ability based on the determination result.
[0083] In one possible example, the third determining unit 440 is specifically used to determine the magnitude of the yield rate corresponding to each of the plurality of production equipment groups and the preset yield rate, and to determine the magnitude of the production efficiency compliance rate and the preset production efficiency compliance rate; and if the yield rate is greater than the preset yield rate and the production efficiency compliance rate is greater than the preset production efficiency compliance rate, then it is determined that the operation of the target employee when operating the production equipment of the production equipment group meets the standard, and the determining result is generated.
[0084] In one possible example, the judgment unit 450 is specifically used to obtain the determination result of the target employee; and to determine the number of production equipment groups in the determination result in which the target employee's operation meets the standard; and to determine the level of the target employee's operational ability based on the number of production equipment groups in which the target employee's operation meets the standard.
[0085] In one possible example, the judgment unit 450 is specifically used to obtain the determination result of the target employee; determine the highest operation difficulty level among the multiple production equipment groups in the determination result where the target employee's operation meets the standard; and determine the level of the target employee's operation ability based on the highest operation difficulty level.
[0086] In one possible example, the first determining unit 420 is specifically configured to: obtain the total number of production batches processed by each of the production equipment groups within the information; obtain the number of production batches marked as equipment malfunctions corresponding to the production equipment group; subtract the number of production batches marked as equipment malfunctions from the total number to obtain a third number; obtain the first number of production batches corresponding to the production equipment group whose quality reaches a preset quality; and obtain the ratio of the first number to the third number, wherein the ratio is the value of the yield rate.
[0087] In one possible example, the second determining unit 430 is specifically configured to: obtain the total number of production batches processed by each of the production equipment groups based on the information; obtain the processing time of each production batch in each of the production equipment groups based on the information; compare the processing time of each production batch in each production equipment group with a preset processing time to obtain a fourth number of production batches whose processing time is less than the preset processing time; and obtain the ratio of the fourth number to the total number, wherein the ratio is the production efficiency compliance rate of the production equipment group.
[0088] In one possible example, the second determining unit 430 is specifically configured to: obtain the total number of production batches processed by each of the production equipment groups within the information; obtain the number of production batches marked as equipment malfunctions corresponding to the production equipment group; subtract the number of production batches marked as equipment malfunctions from the total number to obtain a fifth number; obtain the processing time of each production batch corresponding to each of the production equipment groups based on the information; compare the processing time of the production batches corresponding to the production equipment group with a preset processing time to obtain a sixth number of production batches whose processing time is less than the preset processing time; and obtain the ratio of the sixth number to the fifth number, wherein the ratio is the production efficiency compliance rate corresponding to the production equipment group.
[0089] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.
[0090] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the methods described in the above method embodiments, wherein the computer includes an electronic device.
[0091] This application also provides a computer program product, which includes a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments.
[0092] The computer program product may be a software installation package, and the aforementioned computer includes electronic devices.
[0093] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0094] In the several embodiments provided in this application, it should be understood that the disclosed methods, apparatuses, and systems can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for example, the division of units is merely a logical functional division, and other division methods may exist in actual implementation; for example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.
[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0096] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can be physically comprised separately, or two or more units can be integrated into one unit. The integrated unit described above can be implemented in hardware or in the form of hardware plus software functional units.
[0097] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute some steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0098] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can easily conceive of variations or substitutions without departing from the spirit and scope of the present invention, and various modifications and alterations can be made, including combinations of the different functions and implementation steps described above, as well as software and hardware implementation methods, all of which are within the protection scope of the present invention.
Claims
1. A method for determining an employee's operational competence, characterized in that, include: Information from multiple production work orders of a target employee is obtained, wherein each production work order includes the operation difficulty level of the production equipment operated by the target employee, and the number of production batches completed by the target employee through the production equipment; the production work order also includes the employee number; Based on the information, the yield rate of each production equipment group in the plurality of production equipment groups is determined. The production equipment group is a collection of production equipment in the plurality of production work orders, categorized according to operational difficulty levels. The yield rate is obtained based on a first quantity and a total quantity. The first quantity is the number of production batches corresponding to the production equipment group whose quality reaches a preset quality, and the total quantity is the total number of production batches corresponding to the production equipment group. Based on the information, the production efficiency compliance rate of each production equipment group in the plurality of production equipment groups is determined. The production efficiency compliance rate is obtained based on a second quantity and the total quantity. The second quantity is the number of production batches whose processing time is less than a preset processing time. The production equipment group for which the target employee's operation meets the standard is determined based on the yield rate and production efficiency compliance rate of each of the multiple production equipment groups, and a determination result is obtained; the operational ability level of the target employee is judged based on the determination result. The step of determining the target employee's operational target production equipment group based on the yield rate and production efficiency target achievement rate of each of the plurality of production equipment groups, and obtaining the determination result, includes: judging the yield rate of each of the plurality of production equipment groups against a preset yield rate, and judging the production efficiency target achievement rate against a preset production efficiency target achievement rate. If the yield rate is greater than the preset yield rate, and the production efficiency compliance rate is greater than the preset production efficiency compliance rate, then it is determined that the target employee's operation of the production equipment group meets the standard, and the determination result is generated. The step of determining the level of the target employee's operational ability based on the determination result includes: Obtain the determination result of the target employee; determine the number of production equipment groups in the determination result where the target employee's operation meets the standard; determine the level of the target employee's operational ability based on the number of production equipment groups in which the target employee's operation meets the standard; or, The step of determining the level of the target employee's operational ability based on the determination result includes: Obtain the determination result of the target employee; determine the highest operation difficulty level among the multiple production equipment groups in the determination result where the target employee's operation meets the standard; determine the level of the target employee's operation ability based on the highest operation difficulty level.
2. The method for determining employee operational competence according to claim 1, characterized in that, The step of determining the yield rate of each production equipment group in the multiple production equipment groups based on the information includes: Obtain the total number of production batches completed by each of the production equipment groups within the information; Obtain the number of production batches marked as equipment malfunctions corresponding to the production equipment group; Subtract the number of production batches marked as equipment malfunctions from the total number to obtain the third number; Obtain the first quantity of production batches whose quality reaches the preset quality corresponding to the production equipment group; Obtain the ratio of the first quantity to the third quantity, where the ratio is the yield rate.
3. The method for determining employee operational competence according to claim 1, characterized in that, Determining the production efficiency compliance rate for each of the plurality of production equipment groups based on the information includes: Based on the information, obtain the total number of production batches completed by each of the production equipment groups; Based on the information, obtain the processing time for each production batch in each of the production equipment groups; Compare the processing time of each production batch corresponding to the production equipment group with the preset processing time to obtain the fourth number of production batches whose processing time is less than the preset processing time. Obtain the ratio of the fourth quantity to the total quantity, where the ratio is the production efficiency compliance rate corresponding to the production equipment group.
4. The method for determining employee operational competence according to any one of claims 1 to 3, characterized in that, Determining the production efficiency compliance rate for each of the plurality of production equipment groups based on the information includes: Obtain the total number of production batches completed by each of the production equipment groups within the information; Obtain the number of production batches marked as equipment malfunctions corresponding to the production equipment group; Subtract the number of production batches marked as equipment malfunctions from the total number to obtain the fifth number; Based on the information, obtain the processing time for each production batch in each of the production equipment groups; Compare the processing time of the production batch corresponding to the production equipment group with the preset processing time to obtain the sixth number of production batches whose processing time is less than the preset processing time. Obtain the ratio of the sixth quantity to the fifth quantity, where the ratio is the production efficiency compliance rate corresponding to the production equipment group.
5. A device for determining employee operational competence, characterized in that, include: The acquisition unit is used to acquire information from multiple production work orders of the target employee. Each production work order includes the operation difficulty level of the production equipment operated by the target employee, and the number of production batches completed by the target employee through the production equipment. The production work order also includes the employee number. The first determining unit is used to determine the yield rate of each production equipment group in the plurality of production equipment groups according to the information. The production equipment group is a collection of production equipment in the plurality of production work orders that are divided according to the level of operational difficulty. The yield rate is obtained based on a first quantity and a total quantity. The first quantity is the number of production batches corresponding to the production equipment group that have reached a preset quality. The total quantity is the total number of production batches corresponding to the production equipment group. The second determining unit is used to determine the production efficiency compliance rate of each of the plurality of production equipment groups according to the information. The production efficiency compliance rate is obtained based on a second quantity and the total quantity. The second quantity is the number of production batches whose processing time is less than a preset processing time. The third determining unit is used to determine the production equipment group in which the target employee's operation meets the standard based on the yield rate and the production efficiency compliance rate of each of the plurality of production equipment groups, and to obtain the determining result. The judgment unit is used to determine the level of the target employee's operational ability based on the determination result; The step of determining the target employee's operational target production equipment group based on the yield rate and production efficiency target achievement rate of each of the plurality of production equipment groups, and obtaining the determination result, includes: judging the yield rate of each of the plurality of production equipment groups against a preset yield rate, and judging the production efficiency target achievement rate against a preset production efficiency target achievement rate. If the yield rate is greater than the preset yield rate, and the production efficiency compliance rate is greater than the preset production efficiency compliance rate, then it is determined that the target employee's operation of the production equipment group meets the standard, and the determination result is generated. The step of determining the level of the target employee's operational ability based on the determination result includes: Obtain the determination result of the target employee; determine the number of production equipment groups in the determination result where the target employee's operation meets the standard; determine the level of the target employee's operational ability based on the number of production equipment groups in which the target employee's operation meets the standard; or, The step of determining the level of the target employee's operational ability based on the determination result includes: Obtain the determination result of the target employee; determine the highest operation difficulty level among the multiple production equipment groups in the determination result where the target employee's operation meets the standard; determine the level of the target employee's operation ability based on the highest operation difficulty level.
6. An electronic device, characterized in that, The electronic device includes: One or more processors; One or more memories are used to store programs. The one or more memories and the program are configured such that the one or more processors control the device to perform the steps of the method as described in any one of claims 1-4.
7. A computer-readable storage medium or computer program product, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program causes a computer to perform the method as described in any one of claims 1-4. The computer program product causes the computer to perform the method as described in any one of claims 1-4.