Robust bi-level optimization of relief logistics operations

In this paper, a robust bi-Ievel optimization model is developed for a supply-distribution relief network under uncertainty in demand and supply parameters. It optimizes the relief operating costs as well as considering a penalty term for unsatisfied victims' demands. Moreover, the proposed fra...

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Bibliographic Details
Published in:Applied Mathematical Modelling Vol. 56; p. 359
Main Authors: Safaei, Abdul Sattar, Farsad, Saba, Paydar, Mohammad Mahdi
Format: Journal Article
Language:English
Published: New York Elsevier BV 01.04.2018
Subjects:
Logistics
Operating costs
Optimization
Optimization techniques
Parameter uncertainty
Risk
Robust control
Robustness
Studies
Suppliers
Uncertainty
ISSN:1088-8691, 0307-904X
Online Access:Get full text
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Summary:In this paper, a robust bi-Ievel optimization model is developed for a supply-distribution relief network under uncertainty in demand and supply parameters. It optimizes the relief operating costs as well as considering a penalty term for unsatisfied victims' demands. Moreover, the proposed framework optimizes the relief commodity flow in a relief chain along with the supply risk minimization by identifying the suppliers with a lower risk. This paper proposes an integrated optimization method in which the supply risk value for each supplier is obtained via the TOPSIS method. Next, these values are utilized in a robust bi-level model to select appropriate suppliers and allocate orders. Finally, the robustness and effectiveness of the proposed model are demonstrated by a case of flood disaster.
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ISSN:1088-8691
0307-904X
DOI:10.1016/j.apm.2017.12.003