Collaborative prepositioning network design for regional disaster response

Name: Collaborative prepositioning network design for regional disaster response
Author: Koyuncu, Burcu Balçık, Silvestri, S., Rancourt, M.‐È., Laporte, G.

İsim	Collaborative prepositioning network design for regional disaster response
Yazar	Koyuncu, Burcu Balçık, Silvestri, S., Rancourt, M.‐È., Laporte, G.
Basım Tarihi:	2019-10
Basım Yeri	- Wiley
Konu	Prepositioning, Hurricane preparedness, Horizontal collaboration, Risk pooling, Insurance
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1059-1478
Kayıt Numarası	cfc5333c-90ef-499e-b096-43d0dd3576ac
Lokasyon	Industrial Engineering
Tarih	2019-10
Notlar	TÜBİTAK ; Institute for Data Valorisation (IVADO) ; Natural Sciences and Engineering Research Council of Canada
Örnek Metin	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.
DOI	10.1111/poms.13053
Cilt	28

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Collaborative prepositioning network design for regional disaster response

Yazar Koyuncu, Burcu Balçık, Silvestri, S., Rancourt, M.‐È., Laporte, G.

Basım Tarihi 2019-10

Basım Yeri - Wiley

Konu Prepositioning, Hurricane preparedness, Horizontal collaboration, Risk pooling, Insurance

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1059-1478

Kayıt Numarası cfc5333c-90ef-499e-b096-43d0dd3576ac

Lokasyon Industrial Engineering

Tarih 2019-10

Notlar TÜBİTAK ; Institute for Data Valorisation (IVADO) ; Natural Sciences and Engineering Research Council of Canada

Örnek Metin 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.

DOI 10.1111/poms.13053

Cilt 28