Title

An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations

Document Type

Article

Publication Date

12-30-2017

DOI

https://doi.org/10.1016/j.seps.2017.12.004

Abstract

Efficiency is a key success factor in complex supply chain networks. It is imperative to ensure proper flow of goods and services in humanitarian supply chains in response to a disaster. To this end, we propose a multi-echelon humanitarian logistic network that considers the location of central warehouses, managing the inventory of perishable products in the pre-disaster phase, and routing the relief vehicles in the post-disaster phase. An epsilon-constraint method, a non-dominated sorting genetic algorithm (NSGA-II), and a modified NSGA-II called reference point based non-dominated sorting genetic algorithm-II (RPBNSGA-II) are proposed to solve this mixed integer linear programming (MILP) problem. The analysis of variance (ANOVA) is used to analyze the results showing that NSGA-II performs better than the other algorithms with small size problems while RPBNSGA-II outperforms the other algorithms with large size problems.

Language

English

Comments

Tavana, M., Abtahi, A.R., Di Caprio, D., Hashemif, R. and Yousefi-Zenouz, R. (2018) ‘An Integrated Location-Inventory-Routing Humanitarian Supply Chain Network with Pre- and Post-Disaster Management Considerations,’ Socio-Economic Planning Sciences, Vol. 64, pp. 21-37.

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