Efficient task allocation method and system for OA software and medium

Abstract

The invention provides an efficient task allocation method and system for OA software and a medium. The method comprises the steps of obtaining operation feature data of a target OA software system in a preset time period, performing processing according to task feature data and personnel feature data to obtain a task allocation rationality index, performing processing according to the task feature data and the personnel feature data in combination with the system feature data to obtain a task execution efficiency index, and performing task allocation according to the task execution efficiency index. Processing according to the task feature data and the personnel feature data in combination with the system feature data to obtain a task quality inspection index, processing according to the resource feature data to obtain a resource utilization efficiency index, and processing according to the task allocation rationality index, the task execution efficiency index and the task quality inspection index in combination with the resource utilization efficiency index to obtain a task allocation rationality index; and a system distribution capability index is obtained, and corresponding adjustment and optimization measures are taken, so that the efficient task distribution technology of the OA software is realized.

Description

Technical Field

[0001] This application relates to the technical field of OA software. Specifically, it relates to an efficient task allocation method, system, and medium for OA software. Background Art

[0002] OA software has become an important tool for daily work management. However, existing OA software often has problems with unreasonable task allocation. On the one hand, traditional task allocation methods mostly rely on manual designation, lacking precise matching of employees' skills and task requirements, resulting in low task execution efficiency and even possible failure to complete tasks on time due to mismatched employee skills. On the other hand, the judgment of task priorities is not scientific enough, and tasks cannot be reasonably sorted and allocated according to their urgency and importance, affecting the overall work progress of the enterprise.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the Invention

[0004] The purpose of this application is to provide an efficient task allocation method, system, and medium for OA software. It can obtain the operation characteristic data of the target OA software system within a preset time period, process it according to the task characteristic data and personnel characteristic data to obtain a task allocation rationality index, process it according to the task characteristic data and personnel characteristic data in combination with the system characteristic data to obtain a task execution efficiency index, process it according to the task characteristic data and personnel characteristic data in combination with the system characteristic data to obtain a task quality inspection index, process it according to the resource characteristic data to obtain a resource utilization efficiency index, and then process it in combination with the task allocation rationality index, task execution efficiency index, and task quality inspection index to obtain a system allocation ability index, and perform corresponding adjustment and optimization measures to realize the technology of efficient task allocation for OA software.

[0005] This application also provides an efficient task allocation method for OA software, including the following steps: Obtain the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; Process according to the task characteristic data and personnel characteristic data to obtain a task allocation rationality index; Process according to the task characteristic data and personnel characteristic data in combination with the system characteristic data to obtain a task execution efficiency index; Process according to the task characteristic data and personnel characteristic data in combination with the system characteristic data to obtain a task quality inspection index; Process according to the resource characteristic data to obtain a resource utilization efficiency index; Process according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, and combine with the resource utilization efficiency index to obtain the system allocation ability index, and perform corresponding adjustment and optimization measures.

[0006] Optionally, in the efficient task allocation method of the OA software described in this application, the obtaining of the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data, includes: Monitor the operation monitoring information of the target OA software system within a preset time period, and extract operation characteristic data, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; The task characteristic data includes task attribute characteristic data, task process characteristic data, task allocation characteristic data, and task result characteristic data; The personnel characteristic data includes personnel attribute characteristic data, personnel efficiency characteristic data, and personnel collaboration characteristic data; The system characteristic data includes system process characteristic data and system feedback characteristic data; The resource characteristic data includes human resource characteristic data, equipment resource characteristic data, and material resource characteristic data.

[0007] Optionally, in the efficient task allocation method of the OA software described in this application, the processing according to the task characteristic data and personnel characteristic data to obtain the task allocation rationality index includes: Extract and process the task attribute characteristic data and personnel attribute characteristic data corresponding to each task within the preset time period to obtain the average data of the matching degree between the corresponding task and personnel; Extract and process the task attribute characteristic data, task allocation characteristic data, and personnel efficiency characteristic data corresponding to each task within the preset time period to obtain the average data of the workload balance degree; Extract and process the task attribute characteristic data, task process characteristic data, task result characteristic data, and personnel attribute characteristic data to obtain the task priority accuracy data; Process the average data of the matching degree between the task and personnel, the average data of the workload balance degree, and the task priority accuracy data to obtain the task allocation rationality index.

[0008] Optionally, in the efficient task allocation method of the OA software described in this application, the processing according to the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain the task execution efficiency index includes: Extract and process according to the task attribute feature data, task process feature data, and personnel efficiency feature data to obtain the task on-time completion rate data; Extract and process according to the task attribute feature data, personnel efficiency feature data, and system process feature data to obtain the average task completion time data; Process according to the task on-time completion rate data and the average task completion time data to obtain the task execution efficiency index.

[0009] Optionally, in the efficient task allocation method of the OA software described in this application, the processing according to the task feature data and personnel feature data, combined with the system feature data to obtain the task quality inspection index includes: Extract and process the task process feature data, task result feature data, personnel collaboration feature data, and system feedback feature data corresponding to each task within the preset time period to obtain the average task completion quality score data; Extract and process the task result feature data and system feedback feature data to obtain the task rework rate data; Process according to the average task completion quality score data and the task rework rate data to obtain the task quality inspection index.

[0010] Optionally, in the efficient task allocation method of the OA software described in this application, the processing according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, combined with the resource utilization efficiency index to obtain the system allocation ability index, and perform corresponding adjustment and optimization measures, including: Process the task allocation rationality index, task execution efficiency index, and task quality inspection index, combined with the resource utilization efficiency index through a preset task allocation evaluation model to obtain the system allocation ability index; Compare the system allocation ability index with the preset system allocation ability threshold to obtain a threshold comparison result; Evaluate whether the task allocation ability of the target OA software system meets the requirements according to the threshold comparison result; If the threshold comparison result is less than the preset threshold, the task allocation ability of the target OA software system does not meet the requirements, and corresponding adjustment and optimization measures need to be taken.

[0011] In a second aspect, this application provides an efficient task allocation system for OA software, which includes: a memory and a processor. The memory includes a program for the efficient task allocation method of the OA software. When the program for the efficient task allocation method of the OA software is executed by the processor, the following steps are implemented: Obtain the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; Process the task characteristic data and the personnel characteristic data to obtain a task allocation rationality index; Process the task characteristic data and the personnel characteristic data, and combine with the system characteristic data to obtain a task execution efficiency index; Process the task characteristic data and the personnel characteristic data, and combine with the system characteristic data to obtain a task quality inspection index; Process the resource characteristic data to obtain a resource utilization efficiency index; Process the task allocation rationality index, the task execution efficiency index, and the task quality inspection index, and combine with the resource utilization efficiency index to obtain a system allocation ability index, and perform corresponding adjustment and optimization measures.

[0012] Optionally, in the efficient task allocation system of the OA software described in this application, the obtaining of the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data, includes: Monitor the operation monitoring information of the target OA software system within a preset time period, and extract the operation characteristic data, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; The task characteristic data includes task attribute characteristic data, task process characteristic data, task allocation characteristic data, and task result characteristic data; The personnel characteristic data includes personnel attribute characteristic data, personnel efficiency characteristic data, and personnel collaboration characteristic data; The system characteristic data includes system process characteristic data and system feedback characteristic data; The resource characteristic data includes human resource characteristic data, equipment resource characteristic data, and material resource characteristic data.

[0013] Optionally, in the efficient task allocation system of the OA software described in this application, the processing of the task characteristic data and the personnel characteristic data to obtain a task allocation rationality index includes: Extract and process the task attribute characteristic data and the personnel attribute characteristic data corresponding to each task within the preset time period to obtain the corresponding average task and personnel matching degree data; Extract and process the task attribute characteristic data, the task allocation characteristic data, and the personnel efficiency characteristic data corresponding to each task within the preset time period to obtain the corresponding average workload balance degree data; Extract and process according to the task attribute feature data, task process feature data, task result feature data, and personnel attribute feature data to obtain task priority accuracy data; Process according to the task-personnel matching degree average data, workload balance degree average data, and task priority accuracy data to obtain a task allocation rationality index.

[0014] In a third aspect, the present application also provides a computer-readable storage medium, in which a program for the efficient task allocation method of OA software is stored. When the program for the efficient task allocation method of OA software is executed by a processor, the steps of the efficient task allocation method of OA software as described in any one of the above are implemented.

[0015] As can be seen from the above, the efficient task allocation method, system, and medium of the OA software disclosed in the present invention obtain operation feature data of the target OA software system within a preset time period, including task feature data, personnel feature data, system feature data, and resource feature data. Process according to the task feature data and personnel feature data to obtain a task allocation rationality index. Process according to the task feature data and personnel feature data, combined with the system feature data, to obtain a task execution efficiency index. Process according to the task feature data and personnel feature data, combined with the system feature data, to obtain a task quality inspection index. Process according to the resource feature data to obtain a resource utilization efficiency index. Process according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, combined with the resource utilization efficiency index, to obtain a system allocation ability index, and perform corresponding adjustment and optimization measures, thereby realizing the technology of efficient task allocation of OA software.

[0016] Other features and advantages of the present application will be described in the subsequent specification, and part of them will become obvious from the specification, or be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be achieved and obtained through the structures specifically pointed out in the written specification and the drawings. Brief Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a flowchart of the efficient task allocation method of OA software provided for the embodiments of the present application; Figure 2Flowchart for obtaining the task allocation rationality index of the efficient task allocation method for OA software provided by the embodiments of the present application; Figure 3 Flowchart for obtaining the task execution efficiency index of the efficient task allocation method for OA software provided by the embodiments of the present application; Figure 4 Flowchart for obtaining the task quality inspection index of the efficient task allocation method for OA software provided by the embodiments of the present application. Detailed implementation manners

[0019] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Usually, the components of the embodiments of the present application described and shown in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, the terms "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 is the flowchart of the efficient task allocation method for OA software in some embodiments of the present application. The efficient task allocation method for OA software is used in terminal devices, such as computers, mobile phone terminals, etc. The efficient task allocation method for OA software includes the following steps: S11. Obtain the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; S12. Process according to the task characteristic data and personnel characteristic data to obtain the task allocation rationality index; S13. Process according to the task characteristic data and personnel characteristic data, and combine with the system characteristic data to obtain the task execution efficiency index; S14. Process according to the task characteristic data and personnel characteristic data, and combine with the system characteristic data to obtain the task quality inspection index; S15. Process according to the resource characteristic data to obtain a resource utilization efficiency index; S16. Process according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, and combine with the resource utilization efficiency index to obtain a system allocation ability index, and perform corresponding adjustment and optimization measures.

[0022] It should be noted that OA software has become an important tool for daily work management. However, existing OA software often has problems with unreasonable task allocation. On the one hand, traditional task allocation methods mostly rely on manual designation, lacking precise matching of employees' skills and task requirements, resulting in low task execution efficiency and even possible failure to complete tasks on time due to mismatched employee skills. On the other hand, the judgment of task priorities is not scientific enough, unable to reasonably sort and allocate according to the urgency and importance of tasks, affecting the overall work progress of the enterprise. Therefore, an efficient task allocation method for OA software that can respond according to the actual situation is needed, which can comprehensively consider various factors involved in tasks and has a matching allocation ability. In this embodiment, first, operation characteristic data of the target OA software system within a preset time period is obtained, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data. Process according to the task characteristic data and personnel characteristic data to obtain a task allocation rationality index. Process according to the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain a task execution efficiency index. Process according to the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain a task quality inspection index. Process according to the resource characteristic data to obtain a resource utilization efficiency index. Process according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, combined with the resource utilization efficiency index, to obtain a system allocation ability index, and perform corresponding adjustment and optimization measures, thereby realizing the technology of efficient task allocation of OA software.

[0023] According to an embodiment of the present invention, the obtaining of the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data, includes: Monitor the operation monitoring information of the target OA software system within a preset time period, and extract operation characteristic data, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; The task characteristic data includes task attribute characteristic data, task process characteristic data, task allocation characteristic data, and task result characteristic data; The personnel characteristic data includes personnel attribute characteristic data, personnel efficiency characteristic data, and personnel cooperation characteristic data; The system feature data includes system process feature data and system feedback feature data; The resource feature data includes human resource feature data, equipment resource feature data, and material resource feature data.

[0024] It should be noted that for the operation of the OA software system, it involves several aspects of information and data, including tasks, personnel, systems, and resources. Among them, tasks include their own attributes, task process data, relevant data for task assignment, and relevant result data. Personnel include data such as personnel attributes, personnel performance, personnel efficiency, and collaboration among personnel. The system itself also has process information and data, as well as system feedback. For the entire task, it also involves resources such as human, equipment, and materials. Obtaining these data can prepare for further evaluation of the OA software system.

[0025] Please refer to Figure 2 , Figure 2 is a flowchart for obtaining the task assignment rationality index of the efficient task assignment method of the OA software in some embodiments of the present application. According to the embodiments of the present invention, the processing of the task feature data and the personnel feature data to obtain the task assignment rationality index includes: S21. Extract and process the task attribute feature data and the personnel attribute feature data corresponding to each task within the preset time period to obtain the average task-personnel matching degree data; S22. Extract and process the task attribute feature data, task assignment feature data, and personnel efficiency feature data corresponding to each task within the preset time period to obtain the average workload balance degree data; S23. Extract and process the task attribute feature data, task process feature data, task result feature data, and personnel attribute feature data to obtain the task priority accuracy data; S24. Process the average task-personnel matching degree data, the average workload balance degree data, and the task priority accuracy data to obtain the task assignment rationality index.

[0026] It should be noted that to evaluate the distribution ability of OA software, it is necessary to first evaluate the rationality of its task distribution, including the matching degree between tasks and personnel, that is, the matching degree between tasks and the corresponding personnel who execute the tasks, the workload balance degree, that is, whether the tasks assigned to personnel are balanced, and the task priority accuracy rate, that is, the accuracy of preferentially assigning tasks according to the urgency of the tasks. For this, according to the task attribute characteristic data and personnel attribute characteristic data corresponding to each task within the preset time period, extraction and processing are carried out to obtain the corresponding average matching degree data between tasks and personnel. Among them, the task type, task difficulty, task urgency, knowledge and skills required for the task, and data on the collaboration requirements of the task in the task attribute characteristic data are extracted, and the professional skills, work experience, work load, team collaboration ability, and work efficiency and quality data of personnel in the personnel attribute characteristic data are extracted. Then, through comprehensive analysis and evaluation processing of the above-mentioned task and personnel characteristic data, the matching degree between tasks and personnel in the task distribution in OA software can be accurately judged. According to the task attribute characteristic data, task distribution characteristic data, and personnel efficiency characteristic data corresponding to each task within the preset time period, extraction and processing are carried out to obtain the corresponding average workload balance degree data. Among them, the task duration, task difficulty, and task urgency data in the task attribute characteristic data are extracted, the task quantity, task distribution, and work saturation data in the task distribution characteristic data are extracted, and the personnel working time and personnel efficiency data in the personnel efficiency characteristic data are extracted. Then, through comprehensive analysis and evaluation processing based on the above data, the corresponding average workload balance degree data can be obtained. According to the task attribute characteristic data, task process characteristic data, task result characteristic data, and personnel attribute characteristic data, extraction and processing are carried out to obtain the task priority accuracy rate data. Among them, the task difficulty, task urgency, and task cost data in the task attribute characteristic data are extracted, the task progress tracking data in the task process characteristic data are extracted, the task completion situation and task feedback and evaluation data in the task result characteristic data are extracted, and the employee skills and experience and employee work load data in the personnel attribute characteristic data are extracted. Then, through comprehensive analysis and processing based on the above data, the task priority accuracy rate data is obtained. Finally, according to the obtained average matching degree data between tasks and personnel, average workload balance degree data, and task priority accuracy rate data, processing is carried out through a calculation formula to obtain the task distribution rationality index; Among them, the calculation formula for the task distribution rationality index is: ; Among them, is the task distribution rationality index, 、 、 are respectively the average matching degree data between tasks and personnel, the average workload balance degree data, and the task priority accuracy rate data, , , is a preset feature coefficient (the feature coefficient is obtained by querying through a preset OA software task allocation platform).

[0027] Please refer to Figure 3 , Figure 3 is a flowchart for obtaining a task execution efficiency index of an efficient task allocation method for OA software in some embodiments of the present application. According to an embodiment of the present invention, processing the task characteristic data and personnel characteristic data in combination with the system characteristic data to obtain a task execution efficiency index includes: S31. Extract and process according to the task attribute characteristic data, task process characteristic data, and personnel efficiency characteristic data to obtain task on-time completion rate data; S32. Extract and process according to the task attribute characteristic data, personnel efficiency characteristic data, and system process characteristic data to obtain task average completion time data; S33. Process according to the task on-time completion rate data and task average completion time data to obtain a task execution efficiency index.

[0028] It should be noted that for the OA software to have an efficient task allocation ability, its task execution efficiency is crucial. In this regard, extract and process according to the task attribute characteristic data, task process characteristic data, and personnel efficiency characteristic data to obtain task on-time completion rate data. Among them, extract the task planned start time and end time data in the task attribute characteristic data, extract the task actual start time and task progress update record data in the task process characteristic data, extract the employee work efficiency data in the personnel efficiency characteristic data, and perform comprehensive analysis and processing based on the above data to obtain task on-time completion rate data. Extract and process according to the task attribute characteristic data, personnel efficiency characteristic data, and system process characteristic data to obtain task average completion time data. Among them, extract the task type, task creation time, and task completion time data in the task attribute characteristic data, extract the responsible person's work efficiency and team overall efficiency data in the personnel efficiency characteristic data, extract the task process node time and process branch situation data in the system process characteristic data, and then use data statistics and analysis tools to process the above data to obtain task average completion time data. Further, process the task on-time completion rate data and task average completion time data through a calculation formula to obtain a task execution efficiency index; Among them, the calculation formula for the task execution efficiency index is: ; Among them, is the task execution efficiency index, , They are the task on-time completion rate data and the average task completion time data respectively. is a preset feature coefficient (the feature coefficient is obtained by querying through a preset OA software task assignment platform).

[0029] Please refer to Figure 4 , Figure 4 is a flowchart for obtaining the task quality inspection index of the efficient task assignment method of the OA software in some embodiments of the present application. According to the embodiments of the present invention, processing the task feature data and the personnel feature data in combination with the system feature data to obtain the task quality inspection index includes: S41. Extract and process the task process feature data, task result feature data, personnel collaboration feature data, and system feedback feature data corresponding to each task within the preset time period to obtain the corresponding average task completion quality score data; S42. Extract and process the task result feature data and the system feedback feature data to obtain the task rework rate data; S43. Process the average task completion quality score data and the task rework rate data to obtain the task quality inspection index.

[0030] It should be noted that, on the other hand, it is also necessary to detect the task completion quality, that is, process the average task completion quality score data and the task rework rate data through a calculation formula to obtain the task quality inspection index. Among them, extract and process the task process feature data, task result feature data, personnel collaboration feature data, and system feedback feature data corresponding to each task within the preset time period to obtain the corresponding average task completion quality score data, extract the task execution compliance, task progress control, and resource utilization data in the task process feature data, extract the task target achievement, deliverable accuracy, deliverable integrity, and deliverable standardization data in the task result feature data, extract the person in charge's professional ability and team collaboration effect data in the personnel collaboration feature data, extract the internal customer feedback and external customer feedback data in the system feedback feature data, and then process the above data through data statistics and analysis tools to obtain the average task completion quality score data. Extract and process the task result feature data and the system feedback feature data to obtain the task rework rate data. Among them, extract the rework record and task modification trace data in the task result feature data, extract the communication record and approval record data in the system feedback feature data, and then process the above data through data statistics and analysis tools to obtain the task rework rate data. Finally, process the average task completion quality score data and the task rework rate data to obtain the task quality inspection index; Among them, the calculation formula of the task quality inspection index is: ; Among them, is the task quality inspection index, , are respectively the average data of the task completion quality score and the task rework rate data, , are preset feature coefficients (the feature coefficients are obtained by querying through a preset OA software task allocation platform).

[0031] According to an embodiment of the present invention, the task allocation rationality index, the task execution efficiency index, and the task quality inspection index are combined with the resource utilization efficiency index for processing to obtain a system allocation ability index, and corresponding adjustment and optimization measures are taken, including: The task allocation rationality index, the task execution efficiency index, and the task quality inspection index are combined with the resource utilization efficiency index and processed through a preset task allocation evaluation model to obtain a system allocation ability index; The system allocation ability index is compared with a preset system allocation ability threshold to obtain a threshold comparison result; The task allocation ability of the target OA software system is evaluated according to the threshold comparison result to determine whether it meets the requirements; If the threshold comparison result is less than the preset threshold, the task allocation ability of the target OA software system does not meet the requirements, and corresponding adjustment and optimization measures need to be taken.

[0032] It should be noted that the task allocation rationality index, the task execution efficiency index, and the task quality inspection index are combined with the resource utilization efficiency index and processed through a preset task allocation evaluation model to obtain a system allocation ability index, and then compared with a preset system allocation ability threshold to obtain a threshold comparison result. The task allocation ability of the target OA software system is evaluated according to the threshold comparison result. If the threshold comparison result is less than the preset threshold, the task allocation ability of the target OA software system does not meet the requirements, and corresponding adjustment and optimization measures need to be taken; Among them, the calculation formula of the system allocation ability index is: ; Among them, is the system allocation ability index, , , , are respectively the task allocation rationality index, the task execution efficiency index, the task quality inspection index, and the resource utilization efficiency index, , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset OA software task allocation platform).

[0033] According to an embodiment of the present invention, it further includes: Processing the resource characteristic data to obtain a resource utilization efficiency index, specifically including: The human resource characteristic data includes the total actual working time data of employees and the total available working time data; Performing statistical processing on the total actual working time data and the total available working time data of employees corresponding to each task within the preset time period to obtain corresponding average human resource utilization rate data; The equipment resource characteristic data includes the actual consumption data of equipment resources and the planned consumption data of equipment resources; Performing statistical processing on the actual consumption data of equipment resources and the planned consumption data of equipment resources corresponding to each task within the preset time period to obtain corresponding average equipment resource utilization rate data; The material resource characteristic data includes the actual consumption data of materials and the planned consumption data of materials; Performing statistical processing on the actual consumption data of materials and the planned consumption data of materials corresponding to each task within the preset time period to obtain corresponding average material utilization rate data; Processing the average human resource utilization rate data, the average equipment resource utilization rate data, and the average material utilization rate data to obtain a resource utilization efficiency index; Among them, the calculation formula of the resource utilization efficiency index is: ; Among them, is the resource utilization efficiency index, , , are respectively the average human resource utilization rate data, the average equipment resource utilization rate data, and the average material utilization rate data, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset OA software task allocation platform).

[0034] It should be noted that processing is required based on resource characteristic data to obtain a resource utilization efficiency index. Among them, the resource characteristic data includes human resource characteristic data, equipment resource characteristic data, and material resource characteristic data. Material resources refer to other resources except human resources and equipment resources. Statistical processing is performed based on the actual total working time data and available total working time data of employees corresponding to each task within a preset time period to obtain the corresponding average human resource utilization rate data, which reflects whether human resources are fully utilized and avoids situations of personnel idleness or overwork. Statistical processing is performed based on the actual consumption data and planned consumption data of equipment resources corresponding to each task within a preset time period to obtain the corresponding average equipment resource utilization rate data. Similarly, statistical processing is performed based on the actual consumption data and planned consumption data of materials corresponding to each task within a preset time period to obtain the corresponding average material utilization rate data. Finally, processing is performed based on the average human resource utilization rate data, average equipment resource utilization rate data, and average material utilization rate data to obtain the resource utilization efficiency index.

[0035] In a second aspect, the present invention also discloses an efficient task allocation system for OA software, including a memory and a processor. The memory includes a program for the efficient task allocation method of OA software. When the program for the efficient task allocation method of OA software is executed by the processor, the following steps are implemented: Obtain the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; Process according to the task characteristic data and personnel characteristic data to obtain a task allocation rationality index; Process according to the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain a task execution efficiency index; Process according to the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain a task quality inspection index; Process according to the resource characteristic data to obtain a resource utilization efficiency index; Process according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, combined with the resource utilization efficiency index, to obtain a system allocation ability index, and perform corresponding adjustment and optimization measures.

[0036] It should be noted that OA software has become an important tool for daily work management. However, there are often unreasonable problems in task allocation in existing OA software. On the one hand, traditional task allocation methods mostly rely on manual designation, lacking precise matching of employees' skills and task requirements, resulting in low task execution efficiency and even possible failure to complete tasks on time due to mismatched employees' skills. On the other hand, the judgment of task priorities is not scientific enough, unable to reasonably sort and allocate according to the urgency and importance of tasks, affecting the overall work progress of the enterprise. Therefore, an efficient task allocation method for OA software that can respond according to the actual situation is needed, which can comprehensively consider various factors involved in tasks and have matching allocation capabilities. In this embodiment, first, operation characteristic data of the target OA software system within a preset time period is obtained, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data. The task characteristic data and personnel characteristic data are processed to obtain a task allocation rationality index. The task characteristic data and personnel characteristic data are combined with the system characteristic data for processing to obtain a task execution efficiency index. The task characteristic data and personnel characteristic data are combined with the system characteristic data for processing to obtain a task quality inspection index. The resource characteristic data is processed to obtain a resource utilization efficiency index. The task allocation rationality index, task execution efficiency index, and task quality inspection index are combined with the resource utilization efficiency index for processing to obtain a system allocation ability index, and corresponding adjustment and optimization measures are taken, thereby realizing the technology of efficient task allocation of OA software.

[0037] According to an embodiment of the present invention, the obtaining of the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data, includes: Monitoring the operation monitoring information of the target OA software system within a preset time period, and extracting operation characteristic data, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; The task characteristic data includes task attribute characteristic data, task process characteristic data, task allocation characteristic data, and task result characteristic data; The personnel characteristic data includes personnel attribute characteristic data, personnel efficiency characteristic data, and personnel cooperation characteristic data; The system characteristic data includes system process characteristic data and system feedback characteristic data; The resource characteristic data includes human resource characteristic data, equipment resource characteristic data, and material resource characteristic data.

[0038] It should be noted that for the operation of the OA software system, it involves several aspects of information and data, including tasks, personnel, systems, and resources. Among them, tasks include their own attributes, task process data, relevant data for task assignment, and relevant result data. Personnel include data such as personnel attributes, personnel performance, personnel efficiency, and collaboration among personnel. The system itself also has process information and data, as well as the system's feedback. For the entire task, it also involves resources such as manpower, equipment, and materials. Obtaining these data can prepare for further evaluation of the OA software system.

[0039] According to an embodiment of the present invention, the processing based on the task feature data and the personnel feature data to obtain a task assignment rationality index includes: Performing extraction processing on the task attribute feature data and the personnel attribute feature data corresponding to each task within the preset time period to obtain corresponding average task-personnel matching degree data; Performing extraction processing on the task attribute feature data, task assignment feature data, and personnel efficiency feature data corresponding to each task within the preset time period to obtain corresponding average workload balance degree data; Performing extraction processing on the task attribute feature data, task process feature data, task result feature data, and personnel attribute feature data to obtain task priority accuracy data; Performing processing on the average task-personnel matching degree data, average workload balance degree data, and task priority accuracy data to obtain a task assignment rationality index.

[0040] It should be noted that to evaluate the allocation ability of OA software, it is necessary to first evaluate the rationality of its task allocation, including the matching degree between tasks and personnel, that is, the matching degree between tasks and the corresponding personnel who execute the tasks, the workload balance degree, that is, whether the tasks assigned to personnel are balanced, and the task priority accuracy rate, that is, the accuracy of preferentially allocating tasks according to the urgency of the tasks. For this, the task attribute feature data and personnel attribute feature data corresponding to each task within a preset time period are extracted and processed to obtain the corresponding average task-personnel matching degree data. Among them, the task type, task difficulty, task urgency, knowledge and skills required for the task, and data on the collaboration requirements of the task in the task attribute feature data are extracted, and the personnel professional skills, work experience, work load, team collaboration ability, and work efficiency and quality data in the personnel attribute feature data are extracted. Then, through comprehensive analysis and evaluation processing of the above task and personnel feature data, the task-personnel matching degree in the task allocation of OA software can be accurately judged. According to the task attribute feature data, task allocation feature data, and personnel efficiency feature data corresponding to each task within a preset time period, extraction and processing are carried out to obtain the corresponding average workload balance degree data. Among them, the task duration, task difficulty, and task urgency data in the task attribute feature data are extracted, the task quantity, task distribution, and work saturation data in the task allocation feature data are extracted, and the personnel work time and personnel efficiency data in the personnel efficiency feature data are extracted. Then, through comprehensive analysis and evaluation processing based on the above data, the corresponding average workload balance degree data can be obtained. According to the task attribute feature data, task process feature data, task result feature data, and personnel attribute feature data, extraction and processing are carried out to obtain the task priority accuracy rate data. Among them, the task difficulty, task urgency, and task cost data in the task attribute feature data are extracted, the task progress tracking data in the task process feature data is extracted, the task completion situation and task feedback and evaluation data in the task result feature data are extracted, and the employee skills and experience and employee work load data in the personnel attribute feature data are extracted. Then, through comprehensive analysis and processing based on the above data, the task priority accuracy rate data is obtained. Finally, according to the obtained average task-personnel matching degree data, average workload balance degree data, and task priority accuracy rate data, processing is carried out through a calculation formula to obtain the task allocation rationality index; Among them, the calculation formula for the task allocation rationality index is: ; Among them, is the task allocation rationality index, 、 、 are respectively the average task-personnel matching degree data, average workload balance degree data, and task priority accuracy rate data, , , is a preset feature coefficient (the feature coefficient is obtained by querying through a preset OA software task allocation platform).

[0041] According to an embodiment of the present invention, processing the task feature data and personnel feature data in combination with the system feature data to obtain a task execution efficiency index includes: Performing extraction processing according to the task attribute feature data, task process feature data, and personnel efficiency feature data to obtain task on-time completion rate data; Performing extraction processing according to the task attribute feature data, personnel efficiency feature data, and system process feature data to obtain task average completion time data; Performing processing according to the task on-time completion rate data and task average completion time data to obtain a task execution efficiency index.

[0042] It should be noted that for the OA software, whether it has efficient task allocation capabilities, its task execution efficiency is crucial. In this regard, performing extraction processing according to the task attribute feature data, task process feature data, and personnel efficiency feature data to obtain task on-time completion rate data. Among them, extracting the task planned start time and end time data from the task attribute feature data, extracting the task actual start time and task progress update record data from the task process feature data, extracting the employee work efficiency data from the personnel efficiency feature data, and performing comprehensive analysis and processing based on the above data to obtain task on-time completion rate data. Performing extraction processing according to the task attribute feature data, personnel efficiency feature data, and system process feature data to obtain task average completion time data. Among them, extracting the task type, task creation time, and task completion time data from the task attribute feature data, extracting the responsible person's work efficiency and the overall team efficiency data from the personnel efficiency feature data, extracting the task process node time and process branch situation data from the system process feature data, and then using data statistics and analysis tools to process the above data to obtain task average completion time data. Further, performing processing on the task on-time completion rate data and task average completion time data through a calculation formula to obtain a task execution efficiency index; Among them, the calculation formula of the task execution efficiency index is: ; Among them, is the task execution efficiency index, , are the task on-time completion rate data and task average completion time data respectively, is a preset feature coefficient (the feature coefficient is obtained by querying through a preset OA software task allocation platform).

[0043] According to an embodiment of the present invention, processing is performed by combining the task characteristic data and the personnel characteristic data with the system characteristic data to obtain a task quality inspection index, including: Performing extraction processing on the task process characteristic data, task result characteristic data, personnel collaboration characteristic data, and system feedback characteristic data corresponding to each task within the preset time period to obtain corresponding average task completion quality score data; Performing extraction processing on the task result characteristic data and the system feedback characteristic data to obtain task rework rate data; Performing processing on the average task completion quality score data and the task rework rate data to obtain a task quality inspection index.

[0044] It should be noted that, on the other hand, the task completion quality also needs to be detected, that is, a task quality inspection index is obtained by processing the average task completion quality score data and the task rework rate data through a calculation formula. Among them, extraction processing is performed on the task process characteristic data, task result characteristic data, personnel collaboration characteristic data, and system feedback characteristic data corresponding to each task within the preset time period to obtain corresponding average task completion quality score data. The task execution compliance, task progress control situation, and resource utilization situation data in the task process characteristic data are extracted, the task target achievement situation, deliverable accuracy, deliverable integrity, and deliverable standardization data in the task result characteristic data are extracted, the responsible person's professional ability and team collaboration effect data in the personnel collaboration characteristic data are extracted, and the internal customer feedback and external customer feedback data in the system feedback characteristic data are extracted. Then, the above data is processed through data statistics and analysis tools to obtain the average task completion quality score data. Extraction processing is performed on the task result characteristic data and the system feedback characteristic data to obtain task rework rate data. Among them, the rework record and task modification trace data in the task result characteristic data are extracted, and the communication record and approval record data in the system feedback characteristic data are extracted. Then, the above data is processed through data statistics and analysis tools to obtain the task rework rate data. Finally, a task quality inspection index is obtained by processing the average task completion quality score data and the task rework rate data; Among them, the calculation formula of the task quality inspection index is: ; Among them, is the task quality inspection index, , are the average task completion quality score data and the task rework rate data respectively, , is a preset feature coefficient (the feature coefficient is obtained by querying through a preset OA software task allocation platform).

[0045] According to an embodiment of the present invention, processing according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, in combination with the resource utilization efficiency index to obtain a system allocation ability index, and performing corresponding adjustment and optimization measures, including: Processing according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, in combination with the resource utilization efficiency index through a preset task allocation evaluation model to obtain a system allocation ability index; Comparing the system allocation ability index with a preset system allocation ability threshold to obtain a threshold comparison result; Evaluating whether the task allocation ability of the target OA software system meets the requirements according to the threshold comparison result; If the threshold comparison result is less than the preset threshold, the task allocation ability of the target OA software system does not meet the requirements, and corresponding adjustment and optimization measures need to be taken.

[0046] It should be noted that according to the task allocation rationality index, task execution efficiency index, and task quality inspection index, in combination with the resource utilization efficiency index, processing through a preset task allocation evaluation model to obtain a system allocation ability index, then comparing it with a preset system allocation ability threshold to obtain a threshold comparison result, and evaluating whether the task allocation ability of the target OA software system meets the requirements according to the threshold comparison result. If the threshold comparison result is less than the preset threshold, the task allocation ability of the target OA software system does not meet the requirements, and corresponding adjustment and optimization measures need to be taken; Among them, the calculation formula of the system allocation ability index is: ; Among them, is the system allocation ability index, , , , are respectively the task allocation rationality index, task execution efficiency index, task quality inspection index, and resource utilization efficiency index, , , are preset feature coefficients (the feature coefficients are obtained by querying through a preset OA software task allocation platform).

[0047] According to an embodiment of the present invention, it further includes: Processing according to the resource characteristic data to obtain a resource utilization efficiency index, specifically including: The human resource characteristic data includes the total actual working time data and the total available working time data of employees; Statistical processing is performed on the total actual working time data and available total working time data of the employees corresponding to each task within the preset time period to obtain the corresponding average value data of human resource utilization rate; The equipment resource characteristic data includes equipment resource actual consumption data and equipment resource planned consumption data; Statistical processing is performed on the equipment resource actual consumption data and equipment resource planned consumption data of each task within the preset time period to obtain the corresponding average value data of equipment resource utilization rate; The material resource characteristic data includes material actual consumption data and material planned consumption data; Statistical processing is performed on the material actual consumption data and material planned consumption data corresponding to each task within the preset time period to obtain the corresponding average value data of material utilization rate; Processing is performed on the average value data of human resource utilization rate, average value data of equipment resource utilization rate, and average value data of material utilization rate to obtain a resource utilization efficiency index; Among them, the calculation formula of the resource utilization efficiency index is: ; Among them, is the resource utilization efficiency index, , , are the average value data of human resource utilization rate, average value data of equipment resource utilization rate, and average value data of material utilization rate respectively, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset OA software task allocation platform).

[0048] It should be noted that processing is required based on resource characteristic data to obtain a resource utilization efficiency index. Among them, the resource characteristic data includes human resource characteristic data, equipment resource characteristic data, and material resource characteristic data. Material resources refer to other resources except human resources and equipment resources. Statistical processing is performed based on the actual total working time data and available total working time data of employees corresponding to each task within a preset time period to obtain the corresponding average human resource utilization rate data, which reflects whether human resources are fully utilized and avoids situations of personnel idleness or overwork. Statistical processing is performed based on the actual consumption data and planned consumption data of equipment resources corresponding to each task within a preset time period to obtain the corresponding average equipment resource utilization rate data. Similarly, statistical processing is performed based on the actual consumption data and planned consumption data of materials corresponding to each task within a preset time period to obtain the corresponding average material utilization rate data. Finally, processing is performed based on the average human resource utilization rate data, average equipment resource utilization rate data, and average material utilization rate data to obtain a resource utilization efficiency index.

[0049] The third aspect of the present invention provides a readable storage medium, in which a program for the efficient task allocation method of OA software is stored. When the program for the efficient task allocation method of OA software is executed by a processor, the steps of the efficient task allocation method of OA software as described in any one of the above are implemented.

[0050] The efficient task allocation method, system, and medium of the OA software disclosed in the present invention obtain the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data. Processing is performed based on the task characteristic data and personnel characteristic data to obtain a task allocation rationality index. Processing is performed based on the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain a task execution efficiency index. Processing is performed based on the task characteristic data and personnel characteristic data, combined with the system characteristic data, to obtain a task quality inspection index. Processing is performed based on the resource characteristic data to obtain a resource utilization efficiency index. Processing is performed based on the task allocation rationality index, task execution efficiency index, and task quality inspection index, combined with the resource utilization efficiency index, to obtain a system allocation ability index, and corresponding adjustment and optimization measures are taken, thereby realizing the technology of efficient task allocation of OA software.

[0051] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0052] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0053] In addition, each functional unit in the embodiments of the present invention can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in a unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0054] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it executes the steps including the above method embodiments. The foregoing storage medium includes: removable storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks and other various media that can store program codes.

[0055] Alternatively, if the above-mentioned integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of the present invention essentially or the part that contributes to the prior art can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other various media that can store program codes.

Claims

1. An efficient task allocation method for OA software, characterized in that: The following steps are involved: Obtaining the operational characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; Processing the task characteristic data and the personnel characteristic data to obtain a task allocation rationality index; According to the task characteristic data and the personnel characteristic data, combined with the system characteristic data, processing is performed to obtain a task execution efficiency index; According to the task characteristic data and the personnel characteristic data, combined with the system characteristic data, processing is performed to obtain a task quality inspection index; Processing the resource characteristic data to obtain a resource utilization efficiency index; According to the task allocation rationality index, task execution efficiency index and task quality inspection index, combined with the resource utilization efficiency index, the system allocation capability index is obtained, and corresponding adjustments and optimization measures are taken.

2. The efficient task allocation method for OA software according to claim 1, characterized in that: The acquisition of the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data and resource characteristic data, includes: Monitor the operation monitoring information of the target OA software system within a preset time period and extract operation characteristic data, including task characteristic data, personnel characteristic data, system characteristic data and resource characteristic data; The task characteristic data includes task attribute characteristic data, task process characteristic data, task allocation characteristic data and task result characteristic data; The personnel characteristic data includes personnel attribute characteristic data, personnel efficiency characteristic data and personnel collaboration characteristic data; The system characteristic data includes system process characteristic data and system feedback characteristic data; The resource characteristic data includes human resource characteristic data, equipment resource characteristic data and material resource characteristic data.

3. The efficient task allocation method for OA software according to claim 2, characterized in that: The processing according to the task characteristic data and the personnel characteristic data to obtain the task allocation rationality index includes: Extract and process the task attribute feature data and personnel attribute feature data corresponding to each task within the preset time period to obtain the corresponding task and personnel matching average value data; Extract and process the task attribute feature data, task allocation feature data, and personnel efficiency feature data corresponding to each task within the preset time period to obtain corresponding workload balance average value data; Extract and process the task attribute feature data, the task process feature data, the task result feature data, and the personnel attribute feature data to obtain task priority accuracy data; The task allocation rationality index is obtained by processing the task and personnel matching average value data, the workload balance average value data and the task priority accuracy data.

4. The efficient task allocation method for OA software according to claim 3 is characterized in that: The step of processing the task characteristic data and the personnel characteristic data in combination with the system characteristic data to obtain the task execution efficiency index includes: Extract and process the task attribute feature data, the task process feature data, and the personnel efficiency feature data to obtain task on-time completion rate data; Extract and process the task attribute feature data, personnel efficiency feature data, and system process feature data to obtain task average completion time data; The task execution efficiency index is obtained by processing the task on-time completion rate data and the task average completion time data.

5. The efficient task allocation method for OA software according to claim 4, characterized in that: The step of processing the task characteristic data and the personnel characteristic data in combination with the system characteristic data to obtain the task quality inspection index includes: Extract and process the task process feature data, task outcome feature data, personnel collaboration feature data, and system feedback feature data corresponding to each task within the preset time period to obtain the corresponding task completion quality score average value data; Extract and process the task result feature data and the system feedback feature data to obtain task rework rate data; The task quality inspection index is obtained by processing the task completion quality score average value data and the task rework rate data.

6. The efficient task allocation method for OA software according to claim 5, characterized in that: The task allocation rationality index, task execution efficiency index and task quality inspection index are processed in combination with the resource utilization efficiency index to obtain the system allocation capability index, and corresponding adjustments and optimization measures are performed, including: According to the task allocation rationality index, the task execution efficiency index and the task quality inspection index, the resource utilization efficiency index is combined with the preset task allocation evaluation model to obtain the system allocation capability index; Comparing the system allocation capability index with a preset system allocation capability threshold to obtain a threshold comparison result; According to the threshold comparison result, evaluating whether the task allocation capability of the target OA software system meets the requirements; If the threshold comparison result is less than the preset threshold, the task allocation capability of the target OA software system does not meet the requirements and corresponding adjustment and optimization measures need to be taken.

7. An efficient task allocation system for OA software, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of an efficient task allocation method for OA software, and when the program of the efficient task allocation method for OA software is executed by the processor, the following steps are implemented: Obtaining the operational characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data, and resource characteristic data; Processing the task characteristic data and the personnel characteristic data to obtain a task allocation rationality index; According to the task characteristic data and the personnel characteristic data, combined with the system characteristic data, processing is performed to obtain a task execution efficiency index; According to the task characteristic data and the personnel characteristic data, combined with the system characteristic data, processing is performed to obtain a task quality inspection index; Processing the resource characteristic data to obtain a resource utilization efficiency index; According to the task allocation rationality index, task execution efficiency index and task quality inspection index, combined with the resource utilization efficiency index, the system allocation capability index is obtained, and corresponding adjustments and optimization measures are taken.

8. The efficient task allocation system for OA software according to claim 7, characterized in that: The acquisition of the operation characteristic data of the target OA software system within a preset time period, including task characteristic data, personnel characteristic data, system characteristic data and resource characteristic data, includes: Monitor the operation monitoring information of the target OA software system within a preset time period and extract operation characteristic data, including task characteristic data, personnel characteristic data, system characteristic data and resource characteristic data; The task characteristic data includes task attribute characteristic data, task process characteristic data, task allocation characteristic data and task result characteristic data; The personnel characteristic data includes personnel attribute characteristic data, personnel efficiency characteristic data and personnel collaboration characteristic data; The system characteristic data includes system process characteristic data and system feedback characteristic data; The resource characteristic data includes human resource characteristic data, equipment resource characteristic data and material resource characteristic data.

9. The efficient task allocation system for OA software according to claim 8, characterized in that: The processing according to the task characteristic data and the personnel characteristic data to obtain the task allocation rationality index includes: Extract and process the task attribute feature data and personnel attribute feature data corresponding to each task within the preset time period to obtain the corresponding task and personnel matching average value data; Extract and process the task attribute feature data, task allocation feature data, and personnel efficiency feature data corresponding to each task within the preset time period to obtain corresponding workload balance average value data; Extract and process the task attribute feature data, the task process feature data, the task result feature data, and the personnel attribute feature data to obtain task priority accuracy data; The task allocation rationality index is obtained by processing the task and personnel matching average value data, the workload balance average value data and the task priority accuracy data.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an efficient task allocation method program for OA software. When the efficient task allocation method program for OA software is executed by a processor, the steps of the efficient task allocation method for OA software as described in any one of claims 1 to 6 are implemented.

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