An interactive approach for designing a robust disaster relief logistics network with perishable commodities

Rezaei-Malek, Mohammad; Tavakkoli–Moghaddam, Reza; Zahiri, Behzad; Bozorgi-Amiri, Ali

doi:10.1016/j.cie.2016.01.014

Cited by 128 publications

(74 citation statements)

References 32 publications

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“…There are several studies regarding the relief supply distribution in disasters. See, for examples, Bealt et al (2016), Rezaei-Malek et al (2016), Özdamar and Ertem (2015), Hoyos et al (2015), Diaz et al (2015), L'Hermitte et al (2015), Chou et al (2014), Rath and Gutjahr (2014), Özdamar and Demir (2012) and Lin et al (2011). Particularly, some studies focused on cost, rapid distribution, and equity for humanitarian logistics.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Multi-objective Decision Problems in Humanitarian Supply Chains

Kobayashi

Khojasteh

Kainuma

2019

OSCM: An Int. Journal

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In humanitarian supply chains, there is a need to consider how to distribute the limited relief supplies that have not been prepared sufficiently to each shelter. Different from commercial supply chains that prioritize cost reduction, in humanitarian supply chains, it is important to consider not only reducing the distribution cost but also how to deliver goods quickly to satisfy the demands of shelters. Three metrics have been proposed for humanitarian supply chains: efficiency, equity, and efficacy. The objective of this paper is to define the metric of efficacy to minimize distribution time to each shelter considering the relief goods arrival. Under the situation after the disaster, to supply relief goods agilely and fairly, it is necessary to take account the weight of each metric adequately. We formulate a multiobjective mathematical model by the multiple metrics and carry out the optimization by using the model. The results show that the proposed multi-objective model is very promising in dealing with complicated humanitarian supply chains. Additionally, we show the deviation between the result of each metric and the multi-objective evaluation.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of Multi-objective Decision Problems in Humanitarian Supply Chains

Kobayashi

Khojasteh

Kainuma

2019

OSCM: An Int. Journal

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“…Emergency resource preparation is a concept that can help humans cope with the dangers and uncertainties of disasters . Intensive research on emergency resources in CIPs, which focuses on timely issues, such as risk assessment and risk management, has rapidly increased .…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal decision model for emergency resource reserves in chemical industrial parks in China: A risk perception perspective

Wang

Wei

2019

Process Safety Progress

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A chemical industrial park (CIP) is a concentrated area of firms that are engaged in the manufacture of a large variety of chemicals. The occurrence of accidents in CIPs in China has significantly increased in recent years, thereby posing tremendous threats to people, property, and ecosystems. This study aims to establish a model for reducing disaster risk by balancing the budget for the emergency reserve strategy and the fluke psychology of managers. The research uses the probabilistic approach and the stochastic programming model to address disaster uncertainty. A scenario-based stochastic model for optimum modular emergency resources is established, which simultaneously seeks to maximize the satisfaction degree and minimize the penalty costs when managerial risk perception is considered. In addition, the simulation study proves that the model has practical and theoretical contributions for reserve strategies and managerial risk perception for a risky concentration area.

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“…Musavi and Bozorgi-Amiri [14] present a novel sustainable hub locationvehicle scheduling model considering responsiveness and environmental impacts and propose an adopted nondominated sorting genetic algorithm-II (NSGA-II) metaheuristic approach to solve problems. Rezaei-Malek et al [15] propose a multiobjective model to design a disaster relief logistics hub location considering the lifetime of perishable products by adjusting certain time windows and consider the inherent uncertainty of input data. Khalili-Damghani et al [16] propose a biobjective model to reduce the total cost of a company and consider the location of warehouses and the routing of vehicles for the distribution of perishable products.…”

Section: Scientific Programmingmentioning

confidence: 99%

“…Constraint (14) represents the number of new distribution center constraints. Constraint (15) ensures that each customer has only one candidate distribution center to deliver to him or her. Constraint (16) indicates that the volume of fresh foods delivered to the customer cannot be less than the customer demand, due to possible cargo damage.…”

Section: Location Mathematical Model Under Determinatementioning

confidence: 99%

Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand

Zhang

Xiong

et al. 2017

Scientific Programming

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The problem of locating distribution centers for delivering fresh food as a part of electronic commerce is a strategic decision problem for enterprises. This paper establishes a model for locating distribution centers that considers the uncertainty of customer demands for fresh goods in terms of time-sensitiveness and freshness. Based on the methodology of robust optimization in dealing with uncertain problems, this paper optimizes the location model in discrete demand probabilistic scenarios. In this paper, an improved fruit fly optimization algorithm is proposed to solve the distribution center location problem. An example is given to show that the proposed model and algorithm are robust and can effectively handle the complications caused by uncertain demand. The model proposed in this paper proves valuable both theoretically and practically in the selection of locations of distribution centers.

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An interactive approach for designing a robust disaster relief logistics network with perishable commodities

Cited by 128 publications

References 32 publications

Analysis of Multi-objective Decision Problems in Humanitarian Supply Chains

Analysis of Multi-objective Decision Problems in Humanitarian Supply Chains

Optimal decision model for emergency resource reserves in chemical industrial parks in China: A risk perception perspective

Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand

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