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A Bi-level Multi-objective Location-routing Optimization Model for Disaster Relief Operations Considering Public Donations by Saeed Khanchehzarrin; Mona Ghaebi Panah; Nezam Mahdavi-Amiri; Saber Shiripour is a Economics, Econometrics and Finance article available to read on EtoBox.

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In recent years, the number and severity of natural disasters occurring in various regions of the world have increased dramatically incurring heavy financial and human losses. Therefore, decision-makers have been concerned with ways of providing relief to reduce the losses. Here, we present a multi-objective bi-level model for disaster location-routing problem that provides the needed supplies through multiple suppliers, considering the supply risk. Moreover, to reduce the risk and increase efficiency, special attention is given to people's help for supplying goods having high priority and low risk. At the first level of the model, the cost and time objectives are considered, and at the second level, the risk and efficiency objectives are considered. To solve the bi-level model, first we solved the follower's perspective model using the augmented epsilon constraint method to convert the second level objectives to a single-objective. Then, using the KKT conditions, the bi-level model is converted to a linear single-level bi-objective model, which is solved by the augmented epsilon constraint method. To validate the model, the suburb of Sari in Iran is selected as a case study and th

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Author

Saeed Khanchehzarrin; Mona Ghaebi Panah; Nezam Mahdavi-Amiri; Saber Shiripour

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)