@article {10061,
	title = {An Agent-Based Model for Resource Allocation During Relief Distribution},
	journal = {Journal of Humanitarian Logistics and Supply Chain Management},
	volume = {4},
	number = {2},
	year = {2014},
	pages = {265-285},
	abstract = {Purpose{\textendash} 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.\&nbsp;Design/methodology/approach{\textendash} This study introduces an agent-based model (ABM) framework for integrating stakeholders{\textquoteright} 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.\&nbsp;Findings{\textendash} 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.\&nbsp;Research limitations/implications{\textendash} This study does not consider fleet contracts explicitly, but rather assumes a linear cost function for computing transportation costs.\&nbsp;Practical implications{\textendash} 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{\textendash} 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.},
	url = {http://www.emeraldinsight.com/doi/abs/10.1108/JHLSCM-07-2013-0023},
	author = {Das, R. and Hanaoka, S.}
}
