Collaborative Prepositioning Network Design for Regional Disaster Response

被引:65
作者
Balcik, Burcu [1 ]
Silvestri, Selene [2 ,3 ]
Rancourt, Marie-Eve [2 ,3 ]
Laporte, Gilbert [2 ,3 ]
机构
[1] Ozyegin Univ, Nisantepe Mah Orman Sok 34-36, TR-34794 Istanbul, Turkey
[2] HEC Montreal, 3000 Chemin Cote St Catherine, Montreal, PQ H3T 2A7, Canada
[3] CIRRELT, Succursale Ctr Ville, CP 6128, Montreal, PQ H3C 3J7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
prepositioning; hurricane preparedness; horizontal collaboration; risk pooling; insurance; COST ALLOCATION; HUMANITARIAN OPERATIONS; FACILITY LOCATION; INSURANCE; RELIEF; INVENTORY; RISK; COORDINATION; LOGISTICS; EMERGENCY;
D O I
10.1111/poms.13053
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We present a collaborative prepositioning strategy to strengthen the disaster preparedness of the Caribbean countries, which are frequently hit by hurricanes. Since different subsets of countries are affected in each hurricane season, significant risk pooling benefits can be achieved through horizontal collaboration, which involves joint ownership of prepositioned stocks. We worked with the intergovernmental Caribbean Disaster and Emergency Management Agency to design a collaborative prepositioning network in order to improve regional response capacity. We propose a novel insurance-based method to allocate the costs incurred to establish and operate the proposed collaborative prepositioning network among the partner countries. We present a stochastic programming model, which determines the locations and amounts of relief supplies to store, as well as the investment to be made by each country such that their premium is related to the cost associated with the expected value and the standard deviation of their demand. We develop a realistic data set for the network by processing real-world data. We conduct extensive numerical analyses and present insights that support practical implementation. We show that a significant reduction in total inventory can be achieved by applying collaborative prepositioning as opposed to a decentralized policy. Our results also demonstrate that reducing the replenishment lead time during the hurricane season and improving sea connectivity are essential to increasing the benefits resulting from the network.
引用
收藏
页码:2431 / 2455
页数:25
相关论文
共 68 条
[1]   Models and metrics to assess humanitarian response capacity [J].
Acimovic, Jason ;
Goentzel, Jarrod .
JOURNAL OF OPERATIONS MANAGEMENT, 2016, 45 :11-29
[2]   Relief distribution networks: a systematic review [J].
Anaya-Arenas, A. M. ;
Renaud, J. ;
Ruiz, A. .
ANNALS OF OPERATIONS RESEARCH, 2014, 223 (01) :53-79
[3]  
[Anonymous], 1953, CONTRIBUTIONS THEORY
[4]  
[Anonymous], 2019, MARITIME ROUTES GREA
[5]  
[Anonymous], 2019, ReliefWeb
[6]  
[Anonymous], 2019, WORLD FREIGHT RATES
[7]  
[Anonymous], 2019, WEATHER NETWORK
[8]  
Arnette A. N., 2018, PROD OPER MANAG, V28, P233
[9]  
Balcik Burcu, 2016, Surveys in Operations Research and Management Science, V21, P101, DOI 10.1016/j.sorms.2016.10.002
[10]   Facility location in humanitarian relief [J].
Balcik, B. ;
Beamon, B. M. .
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2008, 11 (02) :101-121