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Title: Resource location for relief distribution and victim evacuation after a sudden-onset disaster
Authors: Setiawan, Eko
Liu, Jiyin
French, Alan
Keywords: Humanitarian logistics
Cross functional coordination
Integer programming
Issue Date: 2018
Publisher: Taylor & Francis © IISE
Citation: SETIAWAN, E., LIU, J. and FRENCH, A., 2018. Resource location for relief distribution and victim evacuation after a sudden-onset disaster. IISE Transactions, doi:10.1080/24725854.2018.1517284.
Abstract: Quick responses to sudden-onset disasters and the effective allocation of rescue and relief resources are vital for saving lives and reducing the suffering of the victims. This paper deals with the problem of positioning medical and relief distribution facilities after a sudden-onset disaster event. The background of this study is the situation in Padang Pariaman District after the West Sumatra earthquake. Three models are built for the resource location and deployment decisions. The first model reflects current practice where relief distribution and victim evacuation are performed separately and relief is distributed by distribution centers within administrative boundaries. The second model allows relief to be distributed across boundaries by any distribution center. The third model further breaks down functional barriers to allow the evacuation and relief distribution operations share vehicles. These models are solved directly for small problems and by using a direct approach as well as heuristics for large problems. Test results on small problems show that resource sharing measures, both across boundaries and across different functions, improve on current practice. For large problems, the results give similar conclusions to those for small problems when each model is solved using its own best approach.
Description: This paper is closed access until 31 January 2020.
Version: Accepted for publication
DOI: 10.1080/24725854.2018.1517284
URI: https://dspace.lboro.ac.uk/2134/34871
Publisher Link: https://doi.org/10.1080/24725854.2018.1517284
ISSN: 2472-5854
Appears in Collections:Closed Access (Business)

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