Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8051885 | Applied Mathematical Modelling | 2018 | 42 Pages |
Abstract
In this paper, a robust bi-level 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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Abdul Sattar Safaei, Saba Farsad, Mohammad Mahdi Paydar,