Intelligent management method and system based on multi-factor task allocation and performance evaluation
By introducing a multi-factor evaluation method in the task allocation and performance evaluation system, the problems of uneven task allocation and distortion of evaluation results in complex task scenarios are solved, the fairness of task allocation and objectivity of evaluation are achieved, and the efficiency of team collaboration is improved and motivational effect.
Patent Information
- Application Number
- CN202411588135.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-08
- Publication Date
- 2025-02-18
AI Technical Summary
It is difficult for existing task allocation and performance evaluation systems to reasonably consider the difficulty, workload, importance and task correlation of tasks in complex task scenarios, resulting in uneven task allocation and distortion of evaluation results, affecting team collaboration efficiency and motivational effect.
Using multi-factor task allocation and performance evaluation methods, tasks are assigned and evaluated scientifically through parameters such as task difficulty coefficient, workload coefficient, importance coefficient and task correlation coefficient to ensure the fairness of task allocation and the objectivity of assessment. .
It improves the fairness of task allocation and the accuracy of performance evaluation, enhances the flexibility of team collaboration and the transparency of task allocation, realizes a performance-based incentive mechanism, and improves organizational management efficiency.
Smart Images
Figure CN119477075A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of performance appraisal, and in particular to an intelligent management method and system based on multi-factor task allocation and performance evaluation. Background Art
[0002] In modern enterprises, especially large enterprises and group companies, the nature of the work of senior managers usually involves complex decision-making, multi-dimensional task coordination, and cross-departmental resource allocation. Such tasks are usually difficult and highly influential, directly affecting the strategic planning and development direction of the enterprise. However, traditional performance appraisal methods are often too simplistic and unable to fully reflect the contributions of senior managers in the execution of complex tasks, resulting in the appraisal results not having sufficient incentive effects.
[0003] Most existing performance evaluation systems are based on fixed assessment indicators, such as financial goals, project completion, etc., but these methods are difficult to accurately measure the actual work performance of senior managers in dealing with dynamic changes, managing uncertainty, and coordinating multiple parties. In addition, traditional task allocation methods often do not fully consider the collaborative effect between senior managers and the strategic importance of tasks, which makes it difficult to evaluate the work performance of senior executives fairly and comprehensively.
[0004] With the advancement of intelligent enterprise management, multi-factor-based task allocation and performance evaluation methods have gradually gained attention. By introducing multi-dimensional indicators such as difficulty coefficient, importance coefficient, and task correlation coefficient, task allocation can be more scientific, ensuring that senior managers can effectively divide the work and collaborate. At the same time, the performance evaluation system can quantitatively evaluate the work performance of senior managers based on the completion of tasks and the realization of strategic goals, ensuring the objectivity and fairness of the evaluation results.
[0005] However, most intelligent management systems on the market today still cannot meet the needs of senior managers, lacking flexible mechanisms for complex task associations and high-level collaboration. Therefore, there is an urgent need for an intelligent management method and system that can reasonably allocate and dynamically evaluate the tasks of senior managers, scientifically quantify their performance, and provide a fair evaluation mechanism for the company's decision-makers, thereby motivating the senior management team to improve work efficiency and achieve the company's strategic goals. Summary of the invention
[0006] 1. Technical issues to be solved
[0007] The present invention intends to solve the problems of unfairness and inefficiency in existing task allocation and performance evaluation systems, especially in scenarios with high task complexity and strong correlation. Traditional task allocation methods often fail to reasonably consider the difficulty, workload, importance and correlation between tasks, resulting in uneven task distribution and affecting team collaboration efficiency. In addition, existing performance evaluation methods are easily affected by subjective factors and lack objective quantification of task completion, which leads to distorted evaluation results and affects the enthusiasm and incentive effect of task executors. The present invention aims to achieve the scientific nature of task allocation and the objectivity of performance evaluation through a multi-factor-based task allocation and performance evaluation method, thereby improving organizational management efficiency and promoting a fair reward mechanism.
[0008] (II) Technical solution
[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:
[0010] An intelligent management method based on multi-factor task allocation and performance evaluation, the method comprising:
[0011] S1. The administrator creates multiple tasks on the system and enters the corresponding task description and task correlation coefficient;
[0012] S2. The system calculates the total score of each task based on the task description and task correlation coefficient input by the task executor;
[0013] S3, task executors select each task through mutual consultation;
[0014] S4. The task executor records the completion of the task;
[0015] S5. The system evaluates and calculates the actual score of each task based on the recorded completion status of each task;
[0016] S6. The system evaluates and calculates the total task score of each task executor based on the actual score of each task;
[0017] S7. The system ranks and distributes bonuses based on the total score of each task performer.
[0018] Preferably, the S2 specifically includes:
[0019] Set the total score of all n tasks T, receive parameter information of multiple tasks i, including the difficulty coefficient (D i ), workload coefficient (W i ), importance coefficient (I i ), task total correlation coefficient (R i); Calculate the weighted scores of multiple tasks i and sum up the weighted scores of all tasks i according to the parameter information; Calculate the weighted score ratio of each task i; Calculate the real score of each task i according to the weighted score ratio;
[0020] S i =D i ×W i ×I i ×(1+R i )
[0021]
[0022]
[0023] F i =E i ×T
[0024] Among them, S i is the weighted score of the i-th task, D i is the difficulty coefficient of the i-th task, W i is the workload coefficient of the i-th task, I i is the importance coefficient of the i-th task, R i is the total correlation coefficient of the i-th task, A is the weighted total score of all n tasks, E i is the weighted score ratio of task i, T is the total score of all tasks, and F i is the score of task i.
[0025] Preferably, in S3, the task executors select each task through mutual consultation. The task executors can coordinate with each other in selecting each task. The task executors selected before task execution can be negotiated to modify the task executors, and the task executors will be bound and cannot be modified during task execution.
[0026] Preferably, in S4, the task executor records the completion status of the executed tasks. The task executor records the completion status of each task when the deadline is reached, and waits for the administrator to review the authenticity of the records. If there is any falsehood, the task completion status is re-recorded.
[0027] Preferably, in S5, the system calculates the actual score of each task according to the recorded completion evaluation of each task, and the calculation formula is:
[0028]
[0029] Among them, C i is the final score of the i-th task, F i is the task score of the i-th task, G iis the actual completion rate of the i-th task, Q i is the baseline completion degree of the ith task.
[0030] Preferably, in S6, the system evaluates and calculates the total task score of each task executor according to the actual score of each task. The total tasks of the task executor include multiple tasks. The actual total score of the tasks held by each task executor is calculated according to the actual score of each task. The calculation formula is:
[0031]
[0032] Among them, H j is the total score of the jth task executor, τ j The set of tasks selected for the jth task performer.
[0033] Preferably, in S7, the system ranks and distributes bonuses according to the total score of each task performer. The administrator sets a total bonus pool based on all tasks. The total score ranking of each task performer is proportional to the bonus. The higher the ranking, the more bonus the performer will get. The calculation formula is:
[0034]
[0035] Among them, B j is the bonus received by the j-th task executor, H j is the total score of the jth task executor, ∑ k H k is the sum of the total scores of all task executors, B total The total prize pool.
[0036] An intelligent management system based on multi-factor task allocation and performance evaluation, including:
[0037] The task management module is used to execute S1, the administrator creates multiple tasks on the system, inputs the corresponding task description and the correlation coefficient of the task, and executes S3, the task executors select each task through mutual consultation;
[0038] The task score calculation module is used to execute S2, and the system calculates the total score of each task according to the task description input by the task executor and the task correlation coefficient evaluation;
[0039] The task completion recording module is used to execute S4 and the task executor records the completion of the task;
[0040] The performance evaluation module is used to execute S5, the system evaluates and calculates the actual score of each task based on the recorded completion of each task, and execute S6, the system evaluates and calculates the total task score of each task executor based on the actual score of each task;
[0041] The bonus distribution module is used to execute S7. The system ranks and distributes bonuses according to the total score of each task executor.
[0042] (III) Beneficial effects
[0043] The present invention can effectively improve the fairness of task allocation and the accuracy of performance evaluation through the intelligent management method and system of multi-factor task allocation and performance evaluation. By introducing multi-dimensional parameters such as the difficulty coefficient, workload coefficient, importance coefficient and task correlation coefficient of the task, the system can reasonably allocate scores according to the actual complexity of the task to ensure that the task allocation is scientific and reasonable. Task executors can independently select tasks through negotiation, which enhances the flexibility of team collaboration and the transparency of task allocation.
[0044] At the same time, the present invention ensures the authenticity and objectivity of performance evaluation through the record of task completion and the administrator review mechanism. The system scores according to the actual completion of the task, and finally distributes bonuses according to the total score ranking, realizing a performance-based incentive mechanism and fully mobilizing the enthusiasm of task executors. The method and system are not only suitable for general task management, but also particularly suitable for complex task allocation and assessment of senior management personnel, which helps to improve the overall efficiency and management level of the organization. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.
[0046] Figure 1 A flowchart of an intelligent management method based on multi-factor task allocation and performance evaluation provided by an embodiment of the present invention;
[0047] Figure 2 A complete flow chart of another intelligent management method based on multi-factor task allocation and performance evaluation provided by an embodiment of the present invention;
[0048] Figure 3 A structural block diagram of an intelligent management system based on multi-factor task allocation and performance evaluation provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0049] The embodiment of the present application provides an intelligent management method and system based on multi-factor task allocation and performance evaluation. In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings in the specification and specific implementation methods.
[0050] Example:
[0051] First, as Figure 1 As shown, an embodiment of the present invention provides an intelligent management method for multi-factor task allocation and performance evaluation, the method comprising:
[0052] S1. The administrator creates multiple tasks on the system and enters the corresponding task description and task correlation coefficient;
[0053] S2. The system calculates the total score of each task based on the task description and task correlation coefficient input by the task executor;
[0054] S3, task executors select each task through mutual consultation;
[0055] S4. The task executor records the completion of the task;
[0056] S5. The system evaluates and calculates the actual score of each task based on the recorded completion status of each task;
[0057] S6. The system evaluates and calculates the total task score of each task executor based on the actual score of each task;
[0058] S7. The system ranks and distributes bonuses based on the total score of each task performer.
[0059] The following will introduce each step of the above technical solution in detail with specific content:
[0060] like Figure 2 As shown, S1. The administrator creates multiple tasks on the system and enters the corresponding task description and the task correlation coefficient. The administrator is responsible for creating a task list in the system. Each task needs to have a clear description, indicating the work objectives, specific requirements, etc. The administrator also needs to set a series of coefficients for each task, namely, the task difficulty coefficient, workload coefficient, importance coefficient, and correlation coefficient.
[0061] S2. The system calculates the total score of each task based on the task description and task correlation coefficients entered by the task executor. The system will score each task using a preset formula based on the task description and various coefficients provided by the administrator. Specifically:
[0062] Set the total score of all n tasks T, receive parameter information of multiple tasks i, including the difficulty coefficient (D i ), workload coefficient (W i ), importance coefficient (I i ), task total correlation coefficient (R i ); Calculate the weighted scores of multiple tasks i and sum up the weighted scores of all tasks i according to the parameter information; Calculate the weighted score ratio of each task i; Calculate the real score of each task i according to the weighted score ratio;
[0063] S i =D i ×W i ×I i ×(1+R i )
[0064]
[0065]
[0066] F i =E i ×T
[0067] Among them, S i is the weighted score of the i-th task, D i is the difficulty coefficient of the i-th task, W i is the workload coefficient of the i-th task, I i is the importance coefficient of the i-th task, R i is the total correlation coefficient of the i-th task, A is the weighted total score of all n tasks, E i is the weighted score ratio of task i, T is the total score of all tasks, and F i is the score of task i;
[0068] S3. Task executors select tasks through mutual consultation. Task executors view all pending tasks and their ratings in the system. Based on the ratings of the tasks and their own professional capabilities, executors can freely select tasks that suit them through mutual consultation. This negotiation process is designed to ensure the rationality of task allocation and to fully utilize the strengths of each executor.
[0069] S4. The task executor records the completion of the task. The task executor records the completion of each task when the deadline is reached, and waits for the administrator to review the authenticity of the record. If there is any false information, the task completion status will be re-recorded.
[0070] S5. The system will evaluate and calculate the actual score of each task based on the recorded completion of each task. The system will calculate the actual score of each task based on the task completion record submitted by the task executor and the coefficient initially set for the task. The details are as follows:
[0071] Actual score for each task:
[0072]
[0073] Among them, C i is the final score of the i-th task, F i is the task score of the i-th task, Gi is the actual completion rate of the i-th task, Q i is the benchmark completion of the i-th task;
[0074] S6. The system evaluates and calculates the total task score of each task performer based on the actual score of each task. The total tasks of the task performer include multiple tasks, and the actual total score of the tasks held by each task performer is calculated based on the actual score of each task;
[0075]
[0076] Among them, H j is the total score of the jth task executor, τ j The set of tasks selected for the jth task executor;
[0077] S7. The system ranks and distributes bonuses based on the total score of each task performer. The administrator will set a total bonus pool based on all tasks. The total score ranking of each task performer is directly proportional to the bonus. The higher the ranking, the more bonuses you will get. The details are as follows:
[0078]
[0079] Among them, B j is the bonus received by the j-th task executor, H j is the total score of the jth task executor, ∑ k H k is the sum of the total scores of all task executors, B total The total prize pool.
[0080] Second, as Figure 3 As shown, the embodiment of the present invention also provides an intelligent management system based on multi-factor task allocation and performance evaluation, including:
[0081] The task management module is used to execute S1, the administrator creates multiple tasks on the system, inputs the corresponding task description and the correlation coefficient of the task, and executes S3, the task executors select each task through mutual consultation;
[0082] The task score calculation module is used to execute S2, and the system calculates the total score of each task according to the task description input by the task executor and the task correlation coefficient evaluation;
[0083] The task completion recording module is used to execute S4 and the task executor records the completion status of the task;
[0084] The performance evaluation module is used to execute S5, the system calculates the actual score of each task according to the recorded completion evaluation of each task, and execute S6, the system calculates the total task score of each task executor according to the actual score evaluation of each task;
[0085] The bonus distribution module is used to execute S7. The system ranks and distributes bonuses according to the total score of each task executor.
[0086] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. An intelligent management method based on multi-factor task allocation and performance evaluation, characterized in that: The method comprises: S1. The administrator creates multiple tasks on the system and enters the corresponding task description and task correlation coefficient; S2. The system calculates the total score of each task based on the task description and task correlation coefficient input by the task executor; S3, task executors select each task through mutual consultation; S4. The task executor records the degree of completion of the task; S5. The system evaluates and calculates the actual score of each task based on the recorded completion status of each task; S6. The system evaluates and calculates the total task score of each task executor based on the actual score of each task; S7. The system ranks and distributes bonuses based on the total score of each task performer.
2. The intelligent management method based on multi-factor task allocation and performance evaluation as claimed in claim 1, characterized in that: The S2 specifically includes: Set the total score of all n tasks T, receive parameter information of multiple tasks i, including the difficulty coefficient (D i ), workload coefficient (W i ), importance coefficient (I i ), task total correlation coefficient (R i ); Calculate the weighted scores of multiple tasks i and sum up the weighted scores of all tasks i according to the parameter information; Calculate the weighted score ratio of each task i; Calculate the real score of each task i according to the weighted score ratio; S i =D i ×W i ×I i ×(1+R i ) F i =E i ×T Among them, S i is the weighted score of the i-th task, D i is the difficulty coefficient of the i-th task, W i is the workload coefficient of the i-th task, I i is the importance coefficient of the i-th task, R i is the total correlation coefficient of the i-th task, A is the weighted total score of all n tasks, E i is the weighted score ratio of task i, T is the total score of all tasks, and F i is the score of task i.
3. The intelligent management method based on multi-factor task allocation and performance evaluation as claimed in claim 1, characterized in that: In S3, the task executors select each task through mutual consultation. The task executors can coordinate with each other in selecting each task. The task executors selected before the task is executed can be negotiated to modify the task executors. During the task execution, the task executors will be bound and cannot be modified.
4. The intelligent management method based on multi-factor task allocation and performance evaluation as claimed in claim 1 or 3, characterized in that: In S4, the task executor records the completion of the task. When the deadline is reached, the task executor records the completion of each task and waits for the administrator to review the authenticity of the record. If there is any falsehood, the task completion will be re-recorded.
5. The intelligent management method based on multi-factor task allocation and performance evaluation as claimed in claim 1 or 3, characterized in that: In S5, the system calculates the actual score of each task based on the recorded completion evaluation of each task, and the calculation formula is: Among them, C j is the final score of the i-th task, F i is the task score of the i-th task, G i is the actual completion degree of the i-th task, Q i is the benchmark completion degree of the ith task.
6. The intelligent management method based on multi-factor task allocation and performance evaluation according to claim 1 or 5, characterized in that: In S6, the system evaluates and calculates the total task score of each task executor based on the actual score of each task. The total tasks of the task executor include multiple tasks. The actual total score of the tasks held by each task executor is calculated based on the actual score of each task. The calculation formula is: Among them, H j is the total score of the jth task executor, τ j The set of tasks selected for the jth task performer.
7. The intelligent management method based on multi-factor task allocation and performance evaluation according to claim 1 or 6, characterized in that: In S7, the system ranks and distributes bonuses based on the total score of each task performer. The administrator will set a total bonus pool based on all tasks. The total score ranking of each task performer is proportional to the bonus. The higher the ranking, the more bonus. The calculation formula is: Among them, B j is the bonus received by the j-th task executor, H j is the total score of the jth task executor, ∑ k H k is the sum of the total scores of all task executors, B total The total prize pool.
8. An intelligent management system for multi-factor task allocation and performance evaluation, characterized in that: include: The task management module is used to execute S1, the administrator creates multiple tasks on the system, inputs the corresponding task description and the correlation coefficient of the task, and executes S3, the task executors select each task through mutual consultation; The task score calculation module is used to execute S2, and the system calculates the total score of each task according to the task description input by the task executor and the task correlation coefficient evaluation; The task completion recording module is used to execute S4 and the task executor records the completion of the task; The performance evaluation module is used to execute S5, the system evaluates and calculates the actual score of each task based on the recorded completion of each task, and execute S6, the system evaluates and calculates the total task score of each task executor based on the actual score of each task; The bonus distribution module is used to execute S7. The system ranks and distributes bonuses according to the total score of each task executor.