Inventory Planning and Coordination in Disaster Relief Efforts
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Date
2013
Authors
Davis, Lauren B.
Samanlıoğlu, Funda
Qu, Xiuli
Root, Sarah
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This research proposes a stochastic programming model to determine how supplies should be positioned and distributed among a network of cooperative warehouses. The model incorporates constraints that enforce equity in service while also considering traffic congestion resulting from possible evacuation behavior and time constraints for providing effective response. We make use of short-term information (e.g. hurricane forecasts) to more effectively preposition supplies in preparation for their distribution at an operational level. Through an extensive computational study we characterize the conditions under which prepositioning is beneficial as well as discuss the relationship between inventory placement capacity and coordination within the network. (C) 2012 Elsevier B.V. All rights reserved.
Description
Keywords
Prepositioning, Stochastic programming, Humanitarian logistics coordination, Prepositioning, Humanitarian logistics coordination, Stochastic programming
Fields of Science
0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
153
Source
International Journal of Production Economics
Volume
141
Issue
2
Start Page
561
End Page
573
PlumX Metrics
Citations
CrossRef : 46
Scopus : 170
Captures
Mendeley Readers : 278
SCOPUS™ Citations
173
checked on Mar 01, 2026
Web of Science™ Citations
150
checked on Mar 01, 2026
Page Views
1
checked on Mar 01, 2026
Downloads
185
checked on Mar 01, 2026
Google Scholar™

OpenAlex FWCI
7.4432
Sustainable Development Goals
11
SUSTAINABLE CITIES AND COMMUNITIES


