Robust design of a multi-objective closed-loop supply chain by integrating on-time delivery, cost, and environmental aspects, case study of a Tire Factory

Robust design of a multi-objective closed-loop supply chain by integrating on-time delivery, cost, and environmental aspects, case study of a Tire Factory
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DOI:
10.1016/j.jclepro.2020.121566
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发表时间:
2020-08-10
影响因子:
11.1
通讯作者:
Shishebori, Davood
Shishebori, Davood
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Abdolazimi, Omid;Esfandarani, Mitra Salehi;Shishebori, Davood

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人口和车辆使用量的增加导致废旧轮胎的产生呈指数级增长,这可能会造成重大的处置和环境挑战。因此,实施适当的回收或处置措施已成为各行业面临的严峻挑战,这些行业旨在提高环境可持续性,同时满足客户的需求并保持经济效益。本文研究了确定性和不确定性条件下的多级闭环供应链网络,在某些参数不确定的情况下,最大化交货时间,最小化总成本和环境影响。提出了一种三目标混合整数线性规划模型。使用第一个目标函数使采购材料从供应商到制造厂的交货时间最大化。使用第二个目标函数最大化网络的总体盈利能力,使用第三个目标函数最小化网络的负面环境影响。此外,为了克服模型参数固有的不确定性,采用了Soyster和Mulvey方法。该模型在某轮胎公司的案例研究中得到了应用。结果揭示了准时交货在选择内部和外部供应商时的效率。应用Vikor方法证明了Soyster方法比Mulvey方法具有更好的性能。结果突出了拟议模型的表现,在该模型中,决策者能够根据交货时间、总成本和对环境的影响在不同类型的供应商(内部和外部)之间做出决定。(C)2020爱思唯尔有限公司。保留所有权利。
Rising population and vehicle use resulted in an exponential growth of used tires generation which could cause significant disposal and environmental challenges. Thus, implementation of appropriate recycling or disposal practices has emerged as the critical challenge for the industries aiming to improve their environmental sustainability while satisfy the customers' needs and maintain the economic benefits. In this study, a multi-level closed-loop supply chain network is developed under deterministic and uncertain conditions to maximize the time delivery, and minimize total costs, and environmental impacts under the uncertainty of some parameters. A three-objective mixed integer linear programming model is proposed. The delivery time of purchased materials from suppliers to the manufacturing plants is maximized using the first objective function. The network overall profitability is maximized using the second objective function, and the negative environmental impacts are minimized using the third objective function. Furthermore, to overcome the innate uncertainty of the models' parameters, the Soyster and Mulvey approaches are applied. The developed model is implemented in a case study of a Tire Company. The results revealed the efficiency of on-time delivery considerations on the selection of internal and external suppliers. Applying the VIKOR method demonstrated the better performance of Soyster method compare to the Mulvey method. The results highlighted the performance of the proposed model in which the decision makers were enabled to decide among different types of suppliers (internal and external) based on the time delivery, total cost, and environmental impact. (C) 2020 Elsevier Ltd. All rights reserved.