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A Comparative Study of Multiple Objectives for Disaster Relief Logistics

  • Esra Agca AktuncEmail author
  • Mahdi Samarah
Conference paper
  • 15 Downloads
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

Disaster relief logistics is a critical part of humanitarian emergency operations. In this study, we develop integer programming models with a focus on the pre-disaster location selection for depots in which relief items would be stored and the post-disaster distribution of relief items to demand locations. The goal is to determine the optimal depot locations and depot-demand node allocations by minimizing the total transportation cost of delivering relief items. We incorporate performance measures that represent the efficiency, efficacy, and equity of the decisions in our models in terms of total transportation cost, total waiting time, and percent of unmet demand, respectively. We consider the uncertainties that would affect the decisions made in terms of demand and transportation times in our case study by analyzing the results under various scenarios. We provide observations regarding the performance of different objectives under different scenarios for demand and transportation network conditions.

Keywords

Disaster management Humanitarian relief logistics Location selection Integer programming Multi-objective programming Demand and distance uncertainty 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Industrial Engineering, Faculty of Engineering and Natural SciencesKadir Has UniversityIstanbulTurkey

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