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A multi-actor multi-objective optimization approach for locating temporary logistics hubs during disaster response

A multi-actor multi-objective optimization approach for locating temporary logistics hubs during... The purpose of this paper is to develop a mathematical model that determines the location of temporary logistics hubs (TLHs) for disaster response and proposes a new method to determine weights of the objectives in a multi-objective optimization problem. The research is motivated by the importance of TLHs and the complexity that surrounds the determination of their location.Design/methodology/approachA multi-period multi-objective model with multi-sourcing is developed to determine the location of the TLHs. A fuzzy factor rating system (FFRS) under the group decision-making (GDM) condition is then proposed to determine the weights of the objectives when multiple decision makers exist.FindingsThe interview with decision makers shows the heterogeneity of decision opinions, thus substantiating the importance of GDM. The optimization results provide useful managerial insights for decision makers by considering the trade-off between two non-commensurable objectives.Research limitations/implicationsIn this study, decision makers are considered to be homogeneous, which might not be the case in reality. This study does not consider the stochastic nature of relief demand.Practical implicationsThe outcomes of this study are valuable to decision makers for relief distribution planning. The proposed FFRS approach reveals the importance of involving multiple decision makers to enhance sense of ownership of established TLHs.Originality/valueA mathematical model highlighting the importance of multi-sourcing and short operational horizon of TLHs is developed. A new method is proposed and implemented to determine the weights of the objectives. To the best of the authors’ knowledge, the multi-actor and multi-objective aspects of the TLH location problem have not thus far been considered simultaneously for one particular problem in humanitarian logistics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Humanitarian Logistics and Supply Chain Management Emerald Publishing

A multi-actor multi-objective optimization approach for locating temporary logistics hubs during disaster response

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2042-6747
DOI
10.1108/jhlscm-08-2017-0040
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to develop a mathematical model that determines the location of temporary logistics hubs (TLHs) for disaster response and proposes a new method to determine weights of the objectives in a multi-objective optimization problem. The research is motivated by the importance of TLHs and the complexity that surrounds the determination of their location.Design/methodology/approachA multi-period multi-objective model with multi-sourcing is developed to determine the location of the TLHs. A fuzzy factor rating system (FFRS) under the group decision-making (GDM) condition is then proposed to determine the weights of the objectives when multiple decision makers exist.FindingsThe interview with decision makers shows the heterogeneity of decision opinions, thus substantiating the importance of GDM. The optimization results provide useful managerial insights for decision makers by considering the trade-off between two non-commensurable objectives.Research limitations/implicationsIn this study, decision makers are considered to be homogeneous, which might not be the case in reality. This study does not consider the stochastic nature of relief demand.Practical implicationsThe outcomes of this study are valuable to decision makers for relief distribution planning. The proposed FFRS approach reveals the importance of involving multiple decision makers to enhance sense of ownership of established TLHs.Originality/valueA mathematical model highlighting the importance of multi-sourcing and short operational horizon of TLHs is developed. A new method is proposed and implemented to determine the weights of the objectives. To the best of the authors’ knowledge, the multi-actor and multi-objective aspects of the TLH location problem have not thus far been considered simultaneously for one particular problem in humanitarian logistics.

Journal

Journal of Humanitarian Logistics and Supply Chain ManagementEmerald Publishing

Published: Mar 23, 2018

Keywords: Humanitarian supply chain; Multi-objective optimization; Facility location problem; Fuzzy factor rating system under group decision making; Temporary logistics hub; Weighted sum method

References