Biobjective Optimization Model Considering Risk and Profit for the Multienterprise Layout Design in Village-Level Industrial Parks in China

Xuemin Liu, Guozhong Huang, Shengnan Ou, Xingyu Xiao, Xuehong Gao (), Zhangzhou Meng, Youqiang Pan and Ibrahim M. Hezam
Additional contact information
Xuemin Liu: Research Institute of Macro-Safety Science, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Guozhong Huang: Research Institute of Macro-Safety Science, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Shengnan Ou: Research Institute of Macro-Safety Science, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Xingyu Xiao: Research Institute of Macro-Safety Science, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Xuehong Gao: Research Institute of Macro-Safety Science, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Zhangzhou Meng: Shunde Association of Work Safety, Foshan 528000, China
Youqiang Pan: Shunde Association of Work Safety, Foshan 528000, China
Ibrahim M. Hezam: Department of Statistics & Operations Research, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia

Sustainability, 2023, vol. 15, issue 4, 1-27

Abstract: With the advent and development of Industry 4.0 and 5.0, manufacturing modes have changed and numerous newly complicated and integrated village-level industrial parks have emerged in the Southeast of China, where several enterprises are gathered in the same multistory building. The number of floors and surrounding enterprises can have an impact on accident risk. To reduce the overall risk level of industrial parks, the layout of enterprises with different risks needs to be well designed and optimized. However, to date, limited studies have been conducted to emphatically consider safety and optimize the enterprise layout at an industrial area level, and most studies focus on the cost of the layout. Therefore, this study proposed three biobjective mathematical optimization models to obtain the trade-off between minimizing risk and maximizing rental profit. Risk factors include the enterprise location and the association risk; the enterprise inherent safety risks are not considered. To solve this problem, a specific linearization strategy was proposed and an epsilon-constraint method was applied to obtain Pareto-optimal solutions. Subsequently, an industrial park in Shunde, China, was considered as a case study to verify the performance of the proposed models and methods. Finally, a sensitivity analysis of critical parameters was conducted. The critical factors influencing the objective functions were also analyzed to provide valuable managerial insights.

Keywords: multistory layout; risk; biobjective programming; industry park; Pareto-optimal solutions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/4/3623/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/4/3623/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:4:p:3623-:d:1070363

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().