Storage Location Assignment in Emergency Reserve Warehouses: A Multi-Objective Optimization Algorithm

Chen Liang, Tao Cui, Yu Wei, Kun Zhao, Xiongping Yue () and Chao Wang
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Chen Liang: School of Logistics, Beijing Wuzi University, Beijing 101149, China
Tao Cui: School of Logistics, Beijing Wuzi University, Beijing 101149, China
Yu Wei: School of Logistics, Beijing Wuzi University, Beijing 101149, China
Kun Zhao: School of Logistics, Beijing Wuzi University, Beijing 101149, China
Xiongping Yue: School of Management, Wuhan Polytechnic University, Wuhan 430024, China
Chao Wang: College of Economics and Management, Beijing University of Technology, Beijing 100124, China

Mathematics, 2025, vol. 13, issue 10, 1-26

Abstract: The efficiency of emergency response operations is critically dependent on the strategic storage and allocation of emergency supplies. Proper management of these resources reduces economic impacts and ensures prompt availability in crises. This study addresses the challenges and existing practices in emergency reserve warehousing, with a specific focus on a Fangshan District case study. It introduces optimized storage strategies and principles for storage location assignment, taking into account both planar and three-dimensional storage configurations. The study employs two pallet types to establish basic assumptions and formulates two models: one for standard pallets in three-dimensional storage and another for special pallets in planar storage, including scenarios for their combined usage. Utilizing an advanced non-dominated genetic algorithm (NSGA-II) with an elite strategy, the study conducts simulations and analyses of these models under various scenarios. The findings indicate that the application of the second scenario significantly improves storage location optimization in emergency reserve warehouses.

Keywords: emergency supply reserve; storage location optimization; NSGA-II; planar and three-dimensional storage integration (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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