Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City
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...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8830335 |
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| _version_ | 1832546931041107968 |
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| author | Liqun Zhang Weibo Yang |
| author_facet | Liqun Zhang Weibo Yang |
| author_sort | Liqun Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3181454325454aed8457f1d428a50050 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-3181454325454aed8457f1d428a500502025-02-03T06:46:30ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88303358830335Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart CityLiqun Zhang0Weibo Yang1Department of Procurement Management, Zhengjiang Hengyi Group, Hangzhou, Zhejiang 311215, ChinaNanjing University of Science & Technology, Nanjing, Jiangsu 210094, ChinaIn 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.http://dx.doi.org/10.1155/2020/8830335 |
| spellingShingle | Liqun Zhang Weibo Yang Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City Complexity |
| title | Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City |
| title_full | Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City |
| title_fullStr | Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City |
| title_full_unstemmed | Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City |
| title_short | Simulation of Enterprise Human Resource Scheduling Algorithm Optimization in the Context of Smart City |
| title_sort | simulation of enterprise human resource scheduling algorithm optimization in the context of smart city |
| url | http://dx.doi.org/10.1155/2020/8830335 |
| work_keys_str_mv | AT liqunzhang simulationofenterprisehumanresourceschedulingalgorithmoptimizationinthecontextofsmartcity AT weiboyang simulationofenterprisehumanresourceschedulingalgorithmoptimizationinthecontextofsmartcity |