Mine workshop performance assessment management method

Through multi-source data fusion, multi-factor weighted model and dynamic performance evaluation method combining neural networks with reinforcement learning, the task difficulty and adjustment of incentive mechanisms are quantified, and multiple problems of traditional mining workshop performance appraisal management methods are solved, achieving more scientific and accurate performance management and more efficient production operations.

CN119721867AActive Publication Date: 2025-03-28ZIJIN ZHIXIN (XIAMEN) TECH CO LTD
7 Cites 3 Cited by

Patent Information

Application Number
CN202510216332.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-26
Publication Date
2025-03-28
Estimated Expiration
2045-02-26

AI Technical Summary

Technical Problem

The traditional performance appraisal management methods for mining workshops have problems such as single data collection, insufficient processing, one-sided evaluation, unscientific task allocation, single incentive mechanism and lack of personalization, which cannot meet modern management needs.

Method used

Multi-source data fusion, text analysis and employee self-evaluation weight determination data collection methods are adopted, based on a dynamic performance evaluation method combining multi-factor weighting model and neural network with reinforcement learning, and quantitative task difficulty is evaluated through hierarchical analysis method and fuzzy comprehensive evaluation, and the incentive mechanism is adjusted using market supply and demand and collaborative filtering algorithms, and performance reports and improvement suggestions are generated with the help of visual library and text mining.

Benefits of technology

It has achieved scientific and comprehensive data collection and processing, accuracy and dynamic performance evaluation, scientific and reasonable allocation of task difficulty, flexibility and effectiveness of incentive mechanisms, and continuous improvement of performance feedback and optimization, which has improved the overall management level and competitiveness of the mining workshop.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of performance appraisal management, in particular to a mine workshop performance appraisal management method, which comprises data acquisition and preprocessing, dynamic performance evaluation, task difficulty adjustment, an incentive mechanism and performance feedback and optimization. Optimizing factor weights and predicting employee performance based on a multi-factor weighting model in combination with a neural network and reinforcement learning, and calculating performance scores in real time; the task difficulty is quantified by applying an analytic hierarchy process and fuzzy comprehensive evaluation, and real-time adaptive optimization is analyzed in combination with employee ability; a market supply and demand and collaborative filtering algorithm is adopted to adjust an integral value and a customization scheme, and an award standard is analyzed and optimized according to cost effectiveness and performance sensitivity; a report is generated by means of a visual library, suggestions are generated by means of text mining, and through prediction and causal analysis early warning, a management strategy adjustment scheme is recommended according to reinforcement learning, and feedback optimization is performed; according to the invention, the performance of the mine workshop can be comprehensively, accurately and dynamically assessed and managed, the operation efficiency and the enthusiasm of employees are improved, and sustainable development of enterprises is promoted.
Need to check novelty before this filing date? Find Prior Art