The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics

This study aims to identify the most appropriate pre-positioned warehouse location for international humanitarian relief organisations. A two-step methodology is structured using fuzzy AHP and fuzzy TOPSIS to evaluate pre-positioned warehouse locations for humanitarian relief organisations. The empi...

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Main Authors: Sae Yeon Roh, Young Ran Shin, Young Joon Seo
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Asian Journal of Shipping and Logistics
Online Access:http://www.sciencedirect.com/science/article/pii/S2092521218300762
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spelling doaj-54159c92d3114312b8af1f612c23ba362020-11-24T21:25:20ZengElsevierAsian Journal of Shipping and Logistics2092-52122018-12-01344297307The Pre-positioned Warehouse Location Selection for International Humanitarian Relief LogisticsSae Yeon Roh0Young Ran Shin1Young Joon Seo2Lecturer, University of Plymouth, United KingdomAssociate Professor, Korea Maritime and Ocean University, South KoreaAssistant Professor, Kyungpook National University, South Korea; Corresponding author.This study aims to identify the most appropriate pre-positioned warehouse location for international humanitarian relief organisations. A two-step methodology is structured using fuzzy AHP and fuzzy TOPSIS to evaluate pre-positioned warehouse locations for humanitarian relief organisations. The empirical case study analysis of a humanitarian relief organisation is conducted to illustrate the use of the proposed framework for ranking alternative locations. This framework provides a more accurate, effective, and systematic decision support tool for stepwise implementation of warehouse location selection in humanitarian relief operations to increase efficiency. National stability is considered the most crucial factor for warehouse selection followed by host country cooperation. Location A was identified as the optimal warehouse location, with Locations D and E being relatively close. However, the organisation operates at Location A due to the national stability and government incentives such as land costs and customs exemption. Keywords: Humanitarian Relief Organisation, Pre-positioned Warehouse, Fuzzy AHP, Fuzzy TOPSIShttp://www.sciencedirect.com/science/article/pii/S2092521218300762
collection DOAJ
language English
format Article
sources DOAJ
author Sae Yeon Roh
Young Ran Shin
Young Joon Seo
spellingShingle Sae Yeon Roh
Young Ran Shin
Young Joon Seo
The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics
Asian Journal of Shipping and Logistics
author_facet Sae Yeon Roh
Young Ran Shin
Young Joon Seo
author_sort Sae Yeon Roh
title The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics
title_short The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics
title_full The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics
title_fullStr The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics
title_full_unstemmed The Pre-positioned Warehouse Location Selection for International Humanitarian Relief Logistics
title_sort pre-positioned warehouse location selection for international humanitarian relief logistics
publisher Elsevier
series Asian Journal of Shipping and Logistics
issn 2092-5212
publishDate 2018-12-01
description This study aims to identify the most appropriate pre-positioned warehouse location for international humanitarian relief organisations. A two-step methodology is structured using fuzzy AHP and fuzzy TOPSIS to evaluate pre-positioned warehouse locations for humanitarian relief organisations. The empirical case study analysis of a humanitarian relief organisation is conducted to illustrate the use of the proposed framework for ranking alternative locations. This framework provides a more accurate, effective, and systematic decision support tool for stepwise implementation of warehouse location selection in humanitarian relief operations to increase efficiency. National stability is considered the most crucial factor for warehouse selection followed by host country cooperation. Location A was identified as the optimal warehouse location, with Locations D and E being relatively close. However, the organisation operates at Location A due to the national stability and government incentives such as land costs and customs exemption. Keywords: Humanitarian Relief Organisation, Pre-positioned Warehouse, Fuzzy AHP, Fuzzy TOPSIS
url http://www.sciencedirect.com/science/article/pii/S2092521218300762
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