Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures: a case study

In humanitarian relief logistics, providing a safe place for evacuees, supplying relief commodities and designing a proper telecommunication infrastructure, for fast communications during disaster, are important issues. Therefore, in this paper, we develop a fuzzy scenario-based optimization model c...

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Bibliographic Details
Published in:Operational research Vol. 19; no. 1; pp. 59 - 99
Main Authors: Mohamadi, Ahmad, Yaghoubi, Saeed, Pishvaee, Mir Saman
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2019
Springer Nature B.V
Subjects:
Business and Management
Case studies
Commodities
Computational Intelligence
Disaster relief
Distribution centers
Humanitarian aid
Humanitarianism
Logistics
Management Science
Multiple objective analysis
Nonlinearity
Operations Research
Operations Research/Decision Theory
Original Paper
Shelters
Stochastic programming
Towers
Multi-objective optimization
Humanitarian relief logistics
Shelters
Backup relief distribution centers
Telecommunication infrastructures
Fuzzy stochastic programming
ISSN:1109-2858, 1866-1505
Online Access:Get full text
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Summary:In humanitarian relief logistics, providing a safe place for evacuees, supplying relief commodities and designing a proper telecommunication infrastructure, for fast communications during disaster, are important issues. Therefore, in this paper, we develop a fuzzy scenario-based optimization model concerning location of shelters, relief distribution centers and telecommunication towers. Towards effective management and reliable servicing, telecommunication towers and shelters are considered to constitute integrated facilities (shelter-TTs). Moreover, to enhance efficiency of emergency services during disaster, backup relief distribution centers, and to approach the model to the real world, failure probabilities in the routes and the relief distribution centers are considered. The problem is formulated in a nonlinear and multi-objective model. Nonlinearity is treated by applying heuristic arguments in conjunction with Lp-metrics method. Finally, the developed model for the case study of flood disaster in an urban district in Iran is implemented. The results demonstrate that the proposed model can help make decisions on both the preparation and response phases in humanitarian relief logistics.
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ISSN:1109-2858
1866-1505
DOI:10.1007/s12351-016-0285-2