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Decision support framework for location selection and disaster relief network design

Giuseppe Timperio (The Logistics Institute Asia Pacific, National University of Singapore, Singapore, Singapore)
Gajanan Bhanudas Panchal (The Logistics Institute Asia Pacific, National University of Singapore, Singapore, Singapore)
Avinash Samvedi (The Logistics Institute Asia Pacific, National University of Singapore, Singapore, Singapore)
Mark Goh (The Logistics Institute Asia Pacific, National University of Singapore, Singapore, Singapore)
Robert De Souza (The Logistics Institute Asia Pacific, National University of Singapore, Singapore, Singapore)

Journal of Humanitarian Logistics and Supply Chain Management

ISSN: 2042-6747

Article publication date: 4 December 2017

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Abstract

Purpose

The purpose of this paper is to provide a decision support framework for locations identification to address network design in the domain of disaster relief supply chains. The solution approach is then applied to a real-life case about Indonesia.

Design/methodology/approach

An approach integrating geographic information system technology and fuzzy analytical hierarchy process has been used.

Findings

For the Indonesian case, distribution centers should be located in Pekanbaru, Surabaya, Banjarmasin, Ambon, Timika, and Manado.

Research limitations/implications

The main limitation of this work is that facilities being sited are incapacitated. Inclusion of constraints over capacity would elevate the framework to a further level of sophistication, enabling virtual pool of inventory that can be used to adsorb fluctuation in the demand due to disasters.

Practical implications

The use case provided in this paper shows a practical example of applicability for the proposed framework. This study is able to support worldwide decision makers facing challenges related with disaster relief chains resilience. In order to achieve efficiency and effectiveness in relief operations, strategic logistics planning in preparedness is key. Hence, initiatives in disaster preparedness should be enhanced.

Originality/value

It adds value to the previous literature on humanitarian logistics by providing a real-life case study as use case for the proposed methodology. It can guide decision makers in designing resilient humanitarian response, worldwide. Moreover, a combination of recommendations from humanitarian logistics practitioners with established models in facility location sciences provides an interdisciplinary solution to this complex exercise.

Keywords

Acknowledgements

The authors thank the United Nations World Food Programme Indonesia, and especially Daniel Adriaens, Head of Emergency Preparedness & Response, and Ian Figgins, Logistics Officer of Emergency Preparedness & Response, who provided data and expertise that greatly assisted the research. The authors would also like to thank the anonymous reviewers for their suggestions in improving the quality of the paper. This research did not receive any grant from funding agencies in the public, commercial, or not-for-profit sectors.

Citation

Timperio, G., Panchal, G.B., Samvedi, A., Goh, M. and De Souza, R. (2017), "Decision support framework for location selection and disaster relief network design", Journal of Humanitarian Logistics and Supply Chain Management, Vol. 7 No. 3, pp. 222-245. https://doi.org/10.1108/JHLSCM-11-2016-0040

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited