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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Chen Liang & Tao Cui & Yu Wei & Kun Zhao & Xiongping Yue & Chao Wang, 2025. "Storage Location Assignment in Emergency Reserve Warehouses: A Multi-Objective Optimization Algorithm," Mathematics, MDPI, vol. 13(10), pages 1-25, May.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:10:p:1636-:d:1657526
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    References listed on IDEAS

    as
    1. Jiaxin Geng & Hanping Hou & Shaoqing Geng, 2021. "Optimization of Warehouse Location and Supplies Allocation for Emergency Rescue under Joint Government–Enterprise Cooperation Considering Disaster Victims’ Distress Perception," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    2. Bo Yan & Chang Yan & Feng Long & Xing-Chao Tan, 2018. "Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1273-1285, August.
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    4. Muppani (Muppant), Venkata Reddy & Adil, Gajendra Kumar, 2008. "Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach," Omega, Elsevier, vol. 36(4), pages 609-618, August.
    5. Campbell, Ann Melissa & Jones, Philip C., 2011. "Prepositioning supplies in preparation for disasters," European Journal of Operational Research, Elsevier, vol. 209(2), pages 156-165, March.
    6. Hamdi Dkhil & Adnan Yassine & Habib Chabchoub, 2018. "Multi-objective optimization of the integrated problem of location assignment and straddle carrier scheduling in maritime container terminal at import," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(2), pages 247-269, February.
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