A three-stage and multi-objective stochastic programming model to improve the sustainable rescue ability by considering secondary disasters in emergency logistics

Zhang, Jianghua; Liu, Haiyue; Yu, Guodong; Ruan, Junhu; Chan, Felix T. S.

doi:10.1016/j.cie.2019.02.003

Cited by 88 publications

(53 citation statements)

References 36 publications

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“…From five key indicators, Gralla et al [30] constructed a multiobjective emergency distribution plan evaluation method based on expert experience. Zhang et al [31] promoted emergency resource distribution combining primary and secondary disasters and proposed a scenario tree based on conditional probability to define the relationship between primary and secondary disasters. In addition, the authors designed a multiobjective three-stage stochastic programming model to address transportation time and costs and minimize demand.…”

Section: A Research On Decision-making Methods For Disaster Emergencmentioning

confidence: 99%

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Fang

Hou

Pan³

et al. 2020

IEEE Access

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Creating an effective and efficient distribution plan is a considerable challenge owing to urgency, incomplete information, and surging demands. In this study, a planning method based on a sliding time window series is designed to solve the problem of drug distribution in earthquake responses. First, this study presents a method designed to generate a series of sliding time windows considering time-varying demands. Second, a method is proposed to determine the effectiveness of the drug distribution plan according to its evaluation standards. Third, a dynamic planning model is established considering the sliding time window series and group information updates. Fourth, a simulation study is conducted to test the models and algorithms. Simulation results show that specific drug distribution plans should be provided to emergency planners in the event of an earthquake. The sliding time window series and group information updates are key factors in creating an effective drug distribution plan as part of an earthquake response.

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Section: A Research On Decision-making Methods For Disaster Emergencmentioning

confidence: 99%

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Fang

Hou

Pan³

et al. 2020

IEEE Access

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“…and costs, and adopted the substitute fuzzy auxiliary variables to deal with the multi-objective model [7]. Mohammadi et al took the maximum demand, minimum cost, and the maximum satisfaction rate as the objectives of their multi-objective stochastic programming model, and used the multi-objective particle swarm optimization algorithm to solve their model [8].…”

Section: Modellingmentioning

confidence: 99%

Integration Methodology of Spare Parts Supply Network Optimization and Decision-making

Wang

Shi

You

et al. 2020

PROMET

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In order to optimize the spare parts supply network, a multi-objective optimization model is established with the objectives of the shortest supply time, the lowest risk, and the minimum supply cost. A decomposition-based multi-objective evolutionary algorithm with differential evolution strategy is introduced to solve the multi-objective model. A series of non-dominated solutions, that is, representing the optimal spare parts supply schemes are obtained. In order to comprehensively measure the performance of these solutions, suitable quantitative metrics are selected, and the secondary goal-based cross-efficiency Data Envelopment Analysis (DEA) model has been used to evaluate the efficiency of the obtained optimal schemes. The improved DEA model overcomes the problems that the efficient units cannot be sorted and the optimal weight is not unique in traditional DEA model. Finally, the self-evaluation efficiency and cross-evaluation efficiency of each scheme are obtained, and the optimal supply scheme is found based on their cross-evaluation efficiency.

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“…Based on the criteria, we select 22 articles [1][2][3][4][5][6][7][8][19][20][21][22][23][24][25][26][27][28][29][30][31][32] to undertake the literature review. There are two articles [2,32] published by Journal of Transportation Systems Engineering & Information Technology that is indexed by an Engineering Village Compendex Database.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Three articles [1,23,28] published by conference proceedings can be found, including one published by the IEEE conference [23] and two published by Elsevier Procedia [1,28]. The rest of the articles were all published by journals with impact factors, in which Computer & Industry Engineering published three references [5,6,21] that have the largest number of selected articles. Applied Mathematical Modelling published two references [26,27].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, as shown in Figure 1, the three-stage logistics network that consists of suppliers, logistics centers, and customers is the most representative configuration of a logistics system. It can be flexibly modified to fit not only logistics systems [5,6] but also supply chain systems [7,8] and manufacturing systems [9,10]. Consequently, we explore the logistics center location and allocation problem in such a three-stage logistics network, and only consider the forward flows in such logistics network.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy Linear Programming Models for a Green Logistics Center Location and Allocation Problem under Mixed Uncertainties Based on Different Carbon Dioxide Emission Reduction Methods

Sun

Zhang

2019

Sustainability

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This study explores a foundational logistics center location and allocation problem in a three-stage logistics network that consists of suppliers, logistics centers, and customers. In this study, the environmental sustainability of the logistics network is improved by optimizing the carbon dioxide emissions of the logistics network based on multi-objective optimization and carbon tax regulation. Mixed uncertainties in the planning stage, including the supply capacities of suppliers, operation capacities of logistics centers, and demands of customers, are modeled using triangular fuzzy numbers based on the fuzzy set theory to order to enhance the reliability of the logistics center location and allocation planning. To solve the green logistics center location and allocation problem under mixed uncertainties, we establish two fuzzy mixed integer linear programming models. The fuzzy credibilistic chance-constrained programming is then adopted to obtain the crisp and linear reformulations of the fuzzy programming models. A numerical case is given to verify the feasibility of the proposed methods, in which the performance of carbon tax regulation in reducing carbon dioxide emissions is then tested based on the benchmark provided by the multi-objective optimization. Lastly, sensitivity analysis and fuzzy simulation are utilized to reveal the effect of the mixed uncertainties on the logistics location and allocation planning and further determine the best confidence level in the fuzzy chance constraints to provide decision makers with a crisp plan.

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A three-stage and multi-objective stochastic programming model to improve the sustainable rescue ability by considering secondary disasters in emergency logistics

Cited by 88 publications

References 36 publications

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Integration Methodology of Spare Parts Supply Network Optimization and Decision-making

Fuzzy Linear Programming Models for a Green Logistics Center Location and Allocation Problem under Mixed Uncertainties Based on Different Carbon Dioxide Emission Reduction Methods

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