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
Recommended Citation
Tavana, Madjid; Abtahi, Amir-Reza; Di Caprio, Debora; Hashemi, Reza; and Yousefi-Zenouz, Reza, "An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations" (2017). Business Systems and Analytics Faculty Work. 107.
https://digitalcommons.lasalle.edu/bsa_faculty/107
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.