Sustainable Allocation Model of Construction Workforce for Work Resumption during COVID-19

被引:11
|
作者
Wang, Layin [1 ]
Zhao, Dong [2 ]
Zhong, Yanqi [3 ]
机构
[1] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Peoples R China
[2] Michigan State Univ, Dept Civil & Environm Engn, Sch Planning Design & Construct, E Lansing, MI 48824 USA
[3] Xian Univ Architecture & Technol, Sch AnDe, Xian 710311, Peoples R China
关键词
skilled workers; work resumption; priority; energy similarity; cellular automaton;
D O I
10.3390/su13116481
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
COVID-19 has posed challenges for the construction industry, such as precise pandemic control, sustainable labor relations, and loss minimization. In response to these challenges, this study has developed a decision model that optimizes workforce allocation for projects to achieve sustainable workforce management, a tradeoff between pandemic prevention and work resumption. The priority of project resumption was evaluated using basic characteristics, the long- and short-term strategies, and the regional pandemic situation. The energy level of skilled workers was graded according to construction team size, skill level, and experience. Sustainable allocation principles and paths were explored to target four different types of work resumption plans. We used the cellular automaton (CA) technique to simulate the sustainable allocation model. We also analyzed the similarity function of energy levels and the time-cost function of allocation. The case study of the SGJ Construction demonstrates that this allocation model can accurately simulate work resumption and provide a sustainable allocation decisions and tools under pandemic. Also, it implies balanced interests and concerns between construction companies and the society for work resumption during COVID-19.
引用
收藏
页数:22
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