An agent-based model for resource allocation during relief distribution

Das Rubel, Shinya Hanaoka

研究成果: Article査読

17 被引用数 (Scopus)


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.

ジャーナルJournal of Humanitarian Logistics and Supply Chain Management
出版ステータスPublished - 2014 10 7

ASJC Scopus subject areas

  • Management Information Systems
  • Management Science and Operations Research

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