Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74014
Title: Location and emergency inventory pre-positioning for disaster response operations : min-max robust model and a case study of Yushu earthquake
Authors: Ni, W
Shu, J
Song, M 
Keywords: Disaster relief
Facility location
Inventory pre-positioning
Min-max robust optimization
Network flow
Issue Date: 2017
Publisher: Wiley-Blackwell
Source: Production and operations management, 2017, v. 27, no. 1, p. 160-183 How to cite?
Journal: Production and operations management 
Abstract: Pre-positioning emergency inventory in selected facilities is commonly adopted to prepare for potential disaster threat. In this study, we simultaneously optimize the decisions of facility location, emergency inventory pre-positioning, and relief delivery operations within a single-commodity disaster relief network. A min-max robust model is proposed to capture the uncertainties in both the left- and right-hand-side parameters in the constraints. The former corresponds to the proportions of the pre-positioned inventories usable after a disaster attack, while the latter represents the demands of the inventories and the road capacities in the disaster-affected areas. We study how to solve the robust model efficiently and analyze a special case that minimizes the deprivation cost. The application of the model is illustrated by a case study of the 2010 earthquake attack at Yushu County in Qinghai Province of PR China. The advantage of the min-max robust model is demonstrated through comparison with the deterministic model and the two-stage stochastic model for the same problem. Experiment variants also show that the robust model outperforms the other two approaches for instances with significantly larger scales.
URI: http://hdl.handle.net/10397/74014
ISSN: 1059-1478
EISSN: 1937-5956
DOI: 10.1111/poms.12789
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