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Journal ArticleDOI

Facility location in humanitarian relief

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TLDR
A model that determines the number and locations of distribution centres in a relief network and the amount of relief supplies to be stocked at each distribution centre to meet the needs of people affected by the disasters is developed.
Abstract
In this study, we consider facility location decisions for a humanitarian relief chain responding to quick-onset disasters. In particular, we develop a model that determines the number and locations of distribution centres in a relief network and the amount of relief supplies to be stocked at each distribution centre to meet the needs of people affected by the disasters. Our model, which is a variant of the maximal covering location model, integrates facility location and inventory decisions, considers multiple item types, and captures budgetary constraints and capacity restrictions. We conduct computational experiments to illustrate how the proposed model works on a realistic problem. Results show the effects of pre- and post-disaster relief funding on relief system's performance, specifically on response time and the proportion of demand satisfied. Finally, we discuss the managerial implications of the proposed model.

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Citations
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Coordination in humanitarian relief chains: Practices, challenges and opportunities

TL;DR: In this paper, the challenges in coordinating humanitarian relief chains and describe the current and emerging coordination practices in disaster relief are reviewed, and some widely practiced supply chain coordination mechanisms and evaluate their adaptability to the unique relief environment.
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Optimization models in emergency logistics: A literature review

TL;DR: Using techniques of content analysis, this paper reviews optimization models utilized in emergency logistics and identifies research gaps identified and future research directions are proposed.
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Pre-positioning of emergency supplies for disaster response

TL;DR: In this article, a two-stage stochastic mixed integer program (SMIP) is proposed to determine the location and quantities of various types of emergency supplies to be pre-positioned under uncertainty about if, or where, a natural disaster will occur.
Journal ArticleDOI

Identifying challenges in humanitarian logistics

TL;DR: In this paper, the challenges of humanitarian logisticians with respect to different types of disasters, phases of disaster relief and the type of humanitarian organization are identified, and a conceptual model is constructed that serves as a basis to identify these challenges.
References
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Journal ArticleDOI

The maximal covering location problem

TL;DR: The use of a maximal service distance as a measure of the value of a given locational configuration has been discussed at length by Toregas and ReVelle 1 who show that it is an important surrogate measurement for the value.
Book

Network and Discrete Location: Models, Algorithms, and Applications

TL;DR: The second edition of Network and Discrete Location: Models, Algorithms, and Applications as discussed by the authors provides a taxonomy of location problems and models, as well as a full range of exercises to equip readers with an understanding of the basic facility location model types.
Journal ArticleDOI

Humanitarian aid logistics: supply chain management in high gear

TL;DR: This paper builds on the idea that private sector logistics can and should be applied to improve the performance of disaster logistics but that before embarking on this the private sector needs to be convinced that it can be applied.
Journal ArticleDOI

Strategic facility location: A review

TL;DR: This review reports on literature which explicitly addresses the strategic nature of facility location problems by considering either stochastic or dynamic problem characteristics, with applications ranging across numerous industries.
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