Research on Optimizing the Location and Layout of National Emergency Material Reserve

Zhuang Wu, Chenjun Liu (), Zhiying Yao and Yi Zhang
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Zhuang Wu: School of Management Engineering, Capital University of Economics and Business, Beijing 100070, China
Chenjun Liu: School of Management Engineering, Capital University of Economics and Business, Beijing 100070, China
Zhiying Yao: Logistics School, Beijing Wuzi University, Beijing 101100, China
Yi Zhang: School of Management Engineering, Capital University of Economics and Business, Beijing 100070, China

Sustainability, 2022, vol. 14, issue 23, 1-13

Abstract: Scientific planning, and the layout of the national level reserve base of emergency materials, will help improve the effectiveness of a country’s overall emergency disaster reduction system. Based on the P-center location theory, this paper analyzes the factors affecting site selection at the national and state levels, determines the reasonable number of emergency material reserve bases at national and state levels, and then develops a national macro-level emergency supply reserve location planning model. In this study, the city of 28 states in a country were selected as alternative reserve cities and emergency demand city matrix, to conduct the research. The model is solved using a variable neighborhood search algorithm (VNS). The calculation results obtain the reasonable number of emergency material reserve bases set at the national level in this studied country, and the optimal solution of the base layout can be obtained if the number of emergency reserve bases set at the national level remains unchanged. The experimental results shows that the selected algorithm is reasonable.

Keywords: public safety; emergency reserve base; location model; genetic algorithm; variable neighborhood search algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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