Optimization model for temporary depot problem in flood disaster response
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Optimization model for temporary depot problem in flood disaster response Wapee Manopiniwes1 · Takashi Irohara2 Received: 18 April 2020 / Accepted: 9 October 2020 © Springer Nature B.V. 2020
Abstract The objective of this research is to establish a model that characterizes integrated humanitarian operations management in response to flood disasters, during which an optimal framework that describes the interactions between different elements in the relief supply chain is crucial. In principle, it is necessary to develop a model that controls the total flow of supply distribution and evacuation planning, as well as the location routing of facilities that handle relief supplies from the sources all the way down the relief chain to the hands of the recipients. The location-routing model was proposed in response to the temporary depot problem that is particular to such disasters. To formulate this problem, the use of a multi-period approach to describe the problem was presented, and multimodal transportation was considered in order to more closely mimic the realistic behavior of a flooding disaster. Keywords Humanitarian logistics · Optimization model · Temporary facility · Floods
1 Introduction Based on climate scientist claims and analyses of disaster frequency trends during recent decades, academicians have responded by developing mathematical models and solution algorithms that deal with different aspects of disasters. Additionally, relief supply chain management has recently gained attention due to the recognition of the central role of logistics in responding to such events (Kovács and Spens 2020; Raikes et al. 2019). The field of humanitarian logistics and relief supply chain management is also receiving increasing attention among academics and practitioners, and the study of humanitarian relief logistics is emerging as an imperative research area that is being sustained by operations management (OM) scholars. While questions regarding the position of * Wapee Manopiniwes [email protected] Takashi Irohara [email protected] 1
Center of Healthcare Engineering System, Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
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Faculty of Science and Technology, Sophia University, Tokyo 102‑8554, Japan
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Natural Hazards
general or commercial logistics and supply chains have long been a topic of interest, much of the existing literature on humanitarian logistics management is quite new and remains insufficient. From this standpoint, the global increase in the number of natural disasters highlights the ongoing need for better planning and operation activities on the part of responding agencies. From a mathematical viewpoint, humanitarian operations management involves a wide variety of complex optimization problems. The optimization area has a vast and fertile overlap between operations research (OR) and computer science (CS) (Zheng et al. 2015). This research aims to propose a decision-making tool in the form of an optimizat
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