Equitable post-disaster relief distribution

Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach

Soghrati Ghasbeh, Sogand (University of Tehran)
Pourmohammadzia, N. (TU Delft Rivers, Ports, Waterways and Dredging Engineering)
Rabbani, Masoud (University of Tehran)

2022

Purpose: This paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while maximizing equity and minimizing response time. Design/methodology/approach: A hybrid algorithm of adaptive large neighborhood search (ALNS) and multi-dimensional local search (MDLS) is introduced to solve the problem. Its results are compared to ALNS and an augmented epsilon constraint (AUGMECON) method. Findings: The results show that the hybrid algorithm can obtain high-quality solutions within reasonable computation time compared to the exact solution. However, while it yields better solutions compared to ALNS, the solution is obtained in a little longer amount of time. Research limitations/implications: In this paper, the uncertain nature of some key features of the relief operations problem is not discussed. Moreover, some assumptions assumed to simplify the proposed model should be verified in future studies. Practical implications: In order to verify the effectiveness of the designed model, a case study of the Sarpol Zahab earthquake in 2017 is illustrated and based on the results and the sensitivity analyses, some managerial insights are listed to help disaster managers make better decisions during disasters. Originality/value: A novel robust multi-stage linear programming model is designed to address the location-distribution-routing problem during a disaster and to solve this model an efficient hybrid meta-heuristic model is developed.

ALNS algorithm
ALNSxMDLS hybrid algorithm
Disaster management
Equity
Multi-stage optimization
Robust optimization

http://resolver.tudelft.nl/uuid:2cb8a338-cd56-4e87-88ec-fb56a8048186

https://doi.org/10.1108/JHLSCM-10-2021-0103

2023-07-01

2042-6747

Journal of Humanitarian Logistics and Supply Chain Management, 12 (4), 618-651

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2022 Sogand Soghrati Ghasbeh, N. Pourmohammadzia, Masoud Rabbani