Construction of Enterprise Human Resource Intelligent Scheduling Model Based on Fuzzy Relationship

Abstract

Human resource planning is to predict and analyze the quantity, quality, and structure of human resources in different historical periods, different social environments, and different development stages, so as to meet the needs of human resources enterprises to implement strategies. It ensures that the supply of human resources within the enterprise can not only meet the needs of the enterprise, but also reduce unnecessary business costs without redundancy. It enables the supply and demand of human resources in daily business operations to achieve and maintain the work balance after dynamic resource management. Human resource planning in an enterprise not only helps to improve the utilization of human resources within the enterprise. And it is an important standard for human resource management such as recruitment, promotion, and training. This paper establishes an intelligent scheduling model of enterprise human resources based on inverse relationship. The experimental results show that before the causal analysis, the business performance measurement items are tested and the sphere test is carried out. The value is 0.86, greater than 0.85, indicating that the group data are suitable for exploratory factor analysis. At the same time, the significance of the spherical test result is 0.00, which is lower than 0.01, and the null hypothesis that the correlation coefficient matrix is a unit matrix is rejected. It shows that the data are correlated and are suitable for analyzing exploratory reasons.

Research of a Multi-Level Organization Human Resource Network Optimization Model and an Improved Late Acceptance Hill Climbing Algorithm

“…CPLEX solver Dong (2022) [13] non-multi-level organization /intra-enterprise mobility planning organizational perspective/single-objective: maximize Performance fuzzy relationship Wang (2022) [14] non-multi-level organization/ intra-enterprise mobility planning organization perspective/multi-objective: maximize social benefits, economic benefit and environmental benefits particle swarm optimization algorithm Lin et al [6] modeled the multi-criteria human resource allocation problem as a multistage combination optimization problem, set the objective function from the organizational perspective to minimize the cost and maximize the benefit of human resource allocation at the same time, and proposed a multi-objective hybrid genetic algorithm to solve this problem. Nirmalad et al [8] investigated the problem of planning for the recruitment and promotion of personnel in an organization based on a dynamic planning algorithm with an objective function of minimizing the cost incurred by the organization in conducting the recruitment and promotion process of personnel.…”

“…This study modeled this process as a mixed-integer programming problem and solved it based on the CPLEX solver. Dong [13] established an intelligent scheduling model of enterprise human resources based on inverse relationship to meet the needs of human resources enterprises to implement strategies by maximizing employees' performance. Wang [14] aimed at the problem of human resources allocation in the process of enterprise management; this research established a corresponding mathematical model and solved the optimal allocation model of human resources based on particle swarm optimization algorithm.…”