A scheme for emergency material allocation based on decision makers' subjective preference

Jin Liu, Yanbin Cheng, Yuqing Lin (), Zhengyang Wu and Chenye Guo
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Jin Liu: Chongqing University of Science and Technology
Yanbin Cheng: Chongqing University of Science and Technology
Yuqing Lin: The University of Newcastle
Zhengyang Wu: Chongqing University of Science and Technology
Chenye Guo: Southwest Branch of China National Coal Group Corporation

Operational Research, 2025, vol. 25, issue 2, No 12, 26 pages

Abstract: Abstract Emergency Material Allocation (EMA) plays a critical role in emergency response efforts. To ensure the equitable allocation of limited emergency rescue materials to Emergency Demand Points (EDPs) under conditions of limited information, this paper proposes a novel EMA approach. The proposed method accounts for Situation Factors (SFs), which capture the severity of damage at EDPs, as well as the perspectives of Emergency Decision-Makers regarding the conditions at these points. Numerical simulations demonstrate that: (i) the approach produces allocations proportional to the severity of the disaster as indicated by the SFs; and (ii) it respects the collective opinions of EDMs, ensuring an allocation aligned with their aggregated evaluations.

Keywords: Large-scale disaster; Emergency material allocation; Emergency decision-makers’ opinions; TOPSIS (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s12351-025-00906-4

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