Year: 2025
Type: article
Abstract: Pre-disaster and post-disaster allocation strategies are widely investigated as the single optimization problem in humanitarian supply chain management, while integrated decisions including the above two problems are seldom discussed in the existing literature. Here, this paper proposes a mixed-integer programming model to determine these decisions, including the location of central warehouses and emergency storage points and the quantities of relief items pre-deployed and distributed. Specially, two preferences regarding costs and cost-resilience are considered, and a comparison of two models concerning the above preferences is performed. The results are as follows: (i) When the impact of disasters is at a relatively low or moderate level, the cost-oriented model can reduce the government’s financial burden and increase the coverage of relief items. However, when the severity of the disaster is high, the cost resilience-oriented model can respond to the needs of victims within the shortest time, although these needs cannot be completely met. (ii) Increasing the initial inventory level of emergency storage points and enhancing the victims’ tolerance time through social support can effectively reduce the total costs, while increasing the transportation speed can effectively reduce the response delay time. (iii) Adjusting the unit penalty cost can make the total penalty costs and transportation costs decline within a certain range, but such an adjustment has no influence on the response delay time. This paper not only proposes an integrated framework for pre- and post-disaster allocation decisions but also highlights the importance of incorporating resilience into relief item allocation in disaster contexts.
Source: Systems
Authors: Fanshun Zhang, Yucan Liu, Hao Yun, Cejun Cao, Xiaoqian Liu
Language: English
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
Funders: Education Department of Hunan Province, National Natural Science Foundation of China, Ministry of Education, India, Natural Science Foundation of Hunan Province, Natural Science Foundation of Chongqing, Chongqing Municipal Education Commission, National Office for Philosophy and Social Sciences, Centre Scientifique et Technique du Bâtiment, National Social Science Fund of China
Awards: G1092907814, G1481648646, G1500887156, G1882170713, G1913931344, G2208813603, G2464074532, G2955910811, G3045764889, 时空数据驱动的城市空间韧性评估、作用机理与优化策略, G3074836614, G3104799409, G3285167190, G3473054718, G3526916917, G3907159773, G3969422240, G4040885279, G4426383437, G4666858073, G5219094108, G5339810257, G555471542, G5642905139, G5956680768, G6869355273, G7119399454, G7171866251, G7525370362, G759216935, G7622938676, G7777724471, G7925699209, G7992794561, G8039612981, G8044224891, G8279145661, G8515275364, G8719471441, G8941391812, G935879999, G993663258
OpenAlex ID: W4413279588