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A multi-objective supplier selection model for green supply chain network under uncertainty

机译:不确定条件下绿色供应链网络的多目标供应商选择模型

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Purpose - Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach - The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings - Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value - This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.
机译:目的-市场全球化和技术变革的步伐引起了越来越重视供应商选择问题的重要性。因此,本研究旨在通过考虑绿色因素和随机参数的供应商选择问题的数学模型来选择最佳供应商。本文旨在提出一种多目标模型,以在不确定性条件下为绿色供应链网络识别最佳供应商。设计/方法/方法-该模型的目的是选择考虑总成本,总质量零件和总温室气体排放量的供应商。另外,不确定性通过随机规划解决,并且多目标模型通过LP度量方法作为单目标模型求解。研究结果-提供了12个数字示例,并进行了敏感性分析,以证明开发的数学模型的有效性。结果表明,随着市场数量和最终产品数量的增加,总目标函数值和运行时间会增加。如果决策者愿意以更高的可靠性处理不确定性,他们应该将整个环境条件视为输入参数。因此,当场景的数量增加时,总目标函数值增加。此外,研究了成本函数与其他目标函数之间的权衡。同样,证明了随机编程方法的好处。为了显示所提出模型的适用性,定义了不同的模式并将其与所提出的模型进行比较,结果表明,越来越多的可循环使用部件和循环策略的应用产生了更多的经济节约和更低的成本。原创性/价值-本文旨在针对不确定性下的绿色供应链中的供应商选择问题,根据实际情况提出一个更全面的模型。除了经济问题外,还从不同方面考虑环境问题,例如选择环境友好的供应商,向其采购,以及考虑从供应商处获取有缺陷的成品和商品的可能性。

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