A hybrid model for remanufacturing facility location problem in a closed-loop supply chain

Facility location, inventory management, and vehicle routing are three important decisions in supply chain management, and location-inventory-routing problems consider them jointly to improve the performance and efficiency of today’s supply chain networks. In this paper, we study a location-inventory-routing problem to minimize the total cost in a closed-loop supply chain that has forward and reverse logistics flows. First, we formulate this problem as a nonlinear integer programming model to optimize facility location, inventory control, and vehicle routing decisions simultaneously in such a system. Second, we develop a novel heuristic approach that incorporates simulated annealing into adaptive genetic algorithm to solve the model efficiently. Last, numerical analysis is presented to validate our solution approach, and it also provides meaningful managerial insight into how to improve the closed-loop supply chain under study.

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A novel approach integrating FANP and MOMILP for the collection centre location problem in closed-loop supply chain

International Journal of Sustainable Engineering ◽

10.1080/19397038.2019.1644388 ◽

2019 ◽

Vol 13 (3) ◽

pp. 171-183

Author(s):

Chuanrui Yang ◽

Xiaohui Chen

Keyword(s):

Supply Chain ◽

Closed Loop ◽

Location Problem ◽

Closed Loop Supply Chain ◽

Novel Approach

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Locating and Designing a Biorefinery Supply Chain under Uncertainty in Navarre: A Stochastic Facility Location Problem Case

Transportation Research Procedia ◽

10.1016/j.trpro.2015.09.024 ◽

2015 ◽

Vol 10 ◽

pp. 704-713 ◽

Cited By ~ 8

Author(s):

Adrián Serrano ◽

Javier Faulin ◽

Pablo Astiz ◽

Mercedes Sánchez ◽

Javier Belloso

Keyword(s):

Supply Chain ◽

Facility Location ◽

Location Problem ◽

Facility Location Problem ◽

Problem Case

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A facility location model for global closed-loop supply chain network design

Applied Mathematical Modelling ◽

10.1016/j.apm.2016.08.030 ◽

2017 ◽

Vol 41 ◽

pp. 316-330 ◽

Cited By ~ 46

Author(s):

Saman Hassanzadeh Amin ◽

Fazle Baki

Keyword(s):

Supply Chain ◽

Network Design ◽

Facility Location ◽

Closed Loop ◽

Location Model ◽

Supply Chain Network Design ◽

Supply Chain Network ◽

Closed Loop Supply Chain

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Risk-Averse Facility Location for Green Closed-Loop Supply Chain Networks Design under Uncertainty

Sustainability ◽

10.3390/su10114072 ◽

2018 ◽

Vol 10 (11) ◽

pp. 4072 ◽

Cited By ~ 4

Author(s):

Xiao Zhao ◽

Xuhui Xia ◽

Lei Wang ◽

Guodong Yu

Keyword(s):

Supply Chain ◽

Facility Location ◽

Co2 Emissions ◽

Closed Loop ◽

Emission Rate ◽

Uncertain Demand ◽

Risk Averse ◽

Closed Loop Supply Chain ◽

Linearization Technique ◽

Reformulation Linearization

With the increasing attention given to environmentalism, designing a green closed-loop supply chain network has been recognized as an important issue. In this paper, we consider the facility location problem, in order to reduce the total costs and CO2 emissions under an uncertain demand and emission rate. Particularly, we are more interested in the risk-averse method for providing more reliable solutions. To do this, we employ a coherent risk measure, conditional value-at-risk, to represent the underlying risk of uncertain demand and CO2 emission rate. The resulting optimization problem is a 0-1 mixed integer bi-objective programming, which is challenging to solve. We develop an improved reformulation-linearization technique, based on decomposed piecewise McCormick envelopes, to generate lower bounds efficiently. We show that the proposed risk-averse model can generate a more reliable solution than the risk-neutral model, both in reducing penalty costs and CO2 emissions. Moreover, the proposed algorithm outperforms and classic reformulation-linearization technique in convergence rate and gaps. Numerical experiments based on random data and a ‘real’ case are performed to demonstrate the performance of the proposed model and algorithm.

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