A Two-Stage Stochastic Programming Model for Emergency Supplies Pre-Position under the Background of Civil-Military Integration

Qingwen Li, Jiuhe Wang (), Yinggang Wang and Jian Lv
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Qingwen Li: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Jiuhe Wang: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Yinggang Wang: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Jian Lv: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China

Sustainability, 2022, vol. 14, issue 19, 1-21

Abstract: The pre-positioning of emergency supplies is of great significance for a timely and effective rescue after a disaster. Using the background of civil-military integration in China, this paper puts the military storage facilities into the layout scheme of emergency supplies reserve and builds a two-stage stochastic programming model of emergency supplies location–allocation optimization, the aim of which is to effectively use the reserve resources of both military and civilian sides to reduce the reserve cost. Then, an improved whale optimization algorithm (IWOA) with more strategies is designed to solve the model. The applicability of the model is proved via a real-world case study in Tangshan, China. The case study shows that when the unit storage cost of military storage facilities is less than 1.5 times of that of civilian emergency storage, the military and civilian joint reserve mode can reduce the reserve cost-effectively; decision-makers can set different maximum rescue times according to different preferences to adapt to different emergency decision-making needs.

Keywords: civil-military integration; pre-positioning of emergency supplies; two-stage stochastic programming; improved whale optimization 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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