Evaluating relief center designs for disaster relief distribution

Ozen, Merve; Krishnamurthy, Ananth

doi:10.1108/jhlscm-03-2017-0012

Cited by 13 publications

(6 citation statements)

References 41 publications

(46 reference statements)

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“…Furthermore, mitigation, preparedness, response and reconstruction are counted the most vital phases of disaster management (Cozzolino, 2012; Jahre et al , 2016). Relief distribution is a key factor in disaster response (Ozen and Krishnamurthy, 2018). Modern technologies should be utilized to distribute relief among survivors immediately after a disaster to increase the survival rate (Eguchi, 2013).…”

Section: Introductionmentioning

confidence: 99%

Multi-level facility location-allocation problem for post-disaster humanitarian relief distribution

Shavarani¹

2019

JHLSCM

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Purpose Previously use of drones as a relief distribution vehicle was studied in several studies where required number of drones and the best locations for the relief centers were investigated. The maximum travel distance of drones without a need to recharge is limited by their endurance. Recharge stations can be used to extend the coverage area of the drones. The purpose of this paper is to find the best topology for both relief centers and recharge stations to cover a large-scale area with minimum and feasible incurred costs and waiting times. Design/methodology/approach A multi-level facility location problem (FLP) is utilized to find the optimum number of relief centers and refuel stations and their locations. It is supposed that the demand occurs according to Poisson distribution. The allocation of the demand is based on nearest neighborhood method. A hybrid genetic algorithm is proposed to solve the model. The performance of the algorithm is examined through a case study. Findings The proposed method delivers increased efficiency and responsiveness of the humanitarian relief system. The coverage area of the drones is extended by refuel stations, total costs of the system are reduced and the time to respond an emergency, which is an important factor in survival rate, is significantly decreased. Originality/value This study proposes a multi-level FLP to simultaneously account for recharge stations, relief centers and the number of required drones to cover all the demand for relief in a post-disaster period.

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Section: Introductionmentioning

confidence: 99%

Multi-level facility location-allocation problem for post-disaster humanitarian relief distribution

Shavarani¹

2019

JHLSCM

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“…This incorporates the urgent actions that are taken to handle emergencies or disaster incidents. Relief distribution is a crucial element in the response to a disaster (Ozen and Krishnamurthy, 2018). The activities in the response stage must have the aim of mobilizing the resources, marshalling disaster responders, transferring services for the distressed areas, and materials for emergency repairs to the infrastructure (Altay et al , 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Framework to manage humanitarian logistics in disaster relief supply chain management in India

Negi

2020

IJES

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PurposeThe purpose of this paper is to identify the issues and challenges in humanitarian logistics and to develop a framework for effectively managing the humanitarian logistics in disaster relief supply chain operations in India.Design/methodology/approachThis paper presents a framework to manage humanitarian logistics effectively in disaster management through qualitative analysis. First, the author examines the challenges facing the humanitarian logistics and supply chain through the reviews of the literature on various disasters. Then, the author presented a framework based on the best practices and initiatives taken worldwide in the preparedness and response stage of the humanitarian supply chain to manage and reduce the aftermath of any disaster in context to India.FindingsA framework has been developed to manage humanitarian logistics in the disaster relief operation, which would improve the humanitarian supply chain in India and help to effectively manage natural disasters in the preparedness and response stage at the state and district levels.Research limitations/implicationsThe paper mainly emphasises on the preparedness and response stage of disaster supply chain management in Indian context.Practical implicationsNone of the disaster incidents can be stopped from taking place, but the impact can be minimised by proper preparedness and effective response during the operations of humanitarian logistics. With this hope, the framework has been developed, which if implemented would help to plan and manage any disaster incident in an effective manner, which ultimately would save millions of lives and cost in terms of infrastructure, property, assets etc.Originality/valueAs natural disaster incidents are occurring frequently in Indian states, there is an urgent need for a framework to manage the logistics operations effectively and efficiently during any disaster relief operations. Limited literature is found on developing and presenting a framework focusing on the preparedness and response phase of disaster supply chain management in context to India. Hence, this paper is believed to be the first to fulfil this gap with main emphasis on the preparedness and response stage of disaster supply chain management in Indian scenario.

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“…They propose a design thinking approach that highlights how games can be used for different research purposes and develop two different game setups that are of increasing fidelity and complexity. Besides, the recent articles note that many works of literature use various applications of mathematical techniques or statistical methods to add some of pressing issues, such as locations for the storage and distribution of relief goods, vehicle routing problems and optimization of resources (see Maharjan and Hanaoka, 2018; Ozen and Krishnamurthy, 2018; Dubey et al , 2019; Jabbour et al , 2019; Kovacs et al , 2019; Zhang et al , 2019). It is evident from several review papers or these recent articles that the common topics of the literature on disaster relief operation or humanitarian logistics problems are the disaster FLAR models with different objective functions.…”

Section: Literature Reviewmentioning

confidence: 99%

Cross-evaluation based super efficiency DEA approach to designing disaster recovery center location-allocation-routing network schemes

Hong

Jeong

2020

JHLSCM

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PurposeFinding efficient disaster recovery center location-allocation-routing (DRCLAR) network schemes play a vital role in the disaster recovery logistics network (DRLN) design. The purpose of this paper is to propose and demonstrate how to design efficient DRCLAR network schemes under the risk of facility disruptions as a part of the disaster relief activities.Design/methodology/approachA goal programming (GP) model is formulated to consider four performance measures simultaneously for the DRCLAR design. The cross-evaluation based-super efficiency data envelopment analysis (DEA) approach is applied to better evaluate the DRCLAR network schemes generated by solving the GP model so that more efficient network schemes can be identified.FindingsThe proposed approach identifies more efficient DRCLAR network schemes consistently among various network schemes generated by GP. We find that combining these two methods compensates for each method's weaknesses and enhances the discriminating power of the DEA method for effectively identifying and ranking the network schemes.Originality/valueThis study presents how to generate balanced DRCLAR network schemes and how to evaluate various network schemes for identifying efficient ones. The proposed procedure of developing and evaluating them could be extended for designing some disaster recovery/relief supply chain systems with conflicting performance measures.

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Evaluating relief center designs for disaster relief distribution

Cited by 13 publications

References 41 publications

Multi-level facility location-allocation problem for post-disaster humanitarian relief distribution

Multi-level facility location-allocation problem for post-disaster humanitarian relief distribution

Framework to manage humanitarian logistics in disaster relief supply chain management in India

Cross-evaluation based super efficiency DEA approach to designing disaster recovery center location-allocation-routing network schemes

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