Abstract
Purpose – The purpose of this paper is to propose a model for allocating resources in various zones after a large-scale disaster. This study is motivated by the social dissatisfaction caused by inefficient relief distribution. Design/methodology/approach – This study introduces an agent-based model (ABM) framework for integrating stakeholders’ interests. The proposed model uses the TOPSIS method to create a hierarchy of demand points for qualitative and quantitative parameters. A decomposition algorithm has been proposed to solve fleet allocation. Findings – Relief distribution based on the urgency of demand points increases social benefit. A decomposition approach generates higher social benefit than the enumeration approach. The transportation cost is lower in the enumeration approach. Research limitations/implications – This study does not consider fleet contracts explicitly, but rather assumes a linear cost function for computing transportation costs. Practical implications – The outcomes of this study can be a valuable tool for relief distribution planning. This model may also help reduce the social dissatisfaction caused by ad hoc relief distribution. Originality/value – This study introduces an ABM for humanitarian logistics, proposes a decomposition approach, and explores the ontology of stakeholders of humanitarian logistics specific to last-mile distribution.
Original language | English |
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Pages (from-to) | 265-285 |
Number of pages | 21 |
Journal | Journal of Humanitarian Logistics and Supply Chain Management |
Volume | 4 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2014 Oct 7 |
Keywords
- Agent-based model
- Decomposition approach
- Humanitarian logistics
- Resource allocation
- TOPSIS
ASJC Scopus subject areas
- Management Information Systems