Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City. (19th November 2020)

• Record Type: Journal Article
• Authors: Zhang, Liqun; Yang, Weibo
• Other Names: Wang Wei Academic Editor.
• Is Part Of: Complexity. Volume 2020(2020)
• Publication Date: 2020-11-19
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2020/8830335
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : In this paper, a new human resource scheduling algorithm is proposed based on the optimization simulation of the human resource scheduling algorithm to find the most suitable human resource allocation scheme for different regions. A simulation system for human resource allocation is proposed, which integrates the scheduling algorithm of this paper and conducts simulation experiments using the historical data of enterprise problems in each region collected in a smart city. The simulation experiment proves that the dispatching algorithm in this paper is more reasonable than the current dispatching algorithm, and the relationship between enterprise problems and the number of employees is also found, and finally, the simulation system in this paper is proved to be stable through large-scale simulation experiment.