Multiple-objective analysis of integrated relief supply and network restoration in humanitarian logistics operations

Kasin Ransikarbum and Scott J. Mason

International Journal of Production Research, 2016, vol. 54, issue 1, 49-68

Abstract: While logistics research recently has placed increased focus on disruption management, few studies have examined the response and recovery phases in post-disaster operations. We present a multiple objective, integrated network optimisation model for making strategic decisions in the supply distribution and network restoration phases of humanitarian logistics operations. Our model provides an equity-based solution for constrained capacity, budget and resource problems in post-disaster logistics management. We conduct designed experiments for this NP-hard problem to analyse important aspects of the integrated problem for both small- and large-sized networks: full vs. partial restoration and pooled vs. separate budgeting approach. Finally, we apply the model to a Hazus-generated regional case study based on an earthquake scenario and generate efficient Pareto frontiers to understand the trade-off between the objectives of interest.

Date: 2016
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Citations: View citations in EconPapers (27)

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DOI: 10.1080/00207543.2014.977458

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