An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management

Rezaei-Malek, Mohammad (School of Industrial Engineering and Center of Excellence for Intelligence Based Experimental Mechanics, College of Engineering, University of Tehran, Tehran, Iran) ; Tavakkoli-Moghaddam, Reza (School of Industrial Engineering and Center of Excellence for Intelligence Based Experimental Mechanics, College of Engineering, University of Tehran, Tehran, Iran) ; Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Taheri-Moghaddam, Alireza (LCFC, Arts et Métiers ParisTech, 57070 Metz, France)

This work develops a multi-objective, two-stage stochastic, non-linear, and mixed-integer mathematical model for relief pre-positioning in disaster management. Improved imbalance and efficacy measures are incorporated into the model based on a new utility level of the delivered relief commodities. This model considers the usage possibility of a set of alternative routes for each of the applied transportation modes and consequently improves the network reliability. An integrated separable programming-augmented e-constraint approach is proposed to address the problem. The best Pareto-optimal solution is selected by PROMETHEE-II. The theoretical improvements of the presented approach are validated by experiments and a real case study.


Keywords:
Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Date:
2016
Pagination:
25 p.
Published in:
Transportation research part E : logistics and transportation review
Numeration (vol. no.):
2016, Vol. 93, pp. 485-509
DOI:
External resources:
Appears in Collection:

Note: The status of this file is: public


 Record created 2016-08-22, last modified 2019-04-11

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