Karimi Sara Khorsandi, Naini Seyed Gholamreza Jalali, Sadjadi Seyed Jafar
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, 16846113114, Iran.
Environ Sci Pollut Res Int. 2021 Mar 30:1-11. doi: 10.1007/s11356-021-13454-z.
Today, environmental awareness is highly interested in supply chains and logistics networks with regard to sustainable development goals. This proposes a bi-objective linear mathematical model comprising supply chain flexibility dimensions. The proposed model is to integrate environmental considerations into a flexible supply chain as an optimization framework. The first objective function is to minimize the costs, while the second one minimizes the environmental impacts of automotive industry. The goal of this paper is to find a trade-off between the total cost and the environmental pollution with regard to the supply chain flexibility dimensions. We suggest adding four different supply chain flexibility dimensions to the model which are budget for transportation, trained labor team to help the packaging process, number of active plants, and outsourcing the painting process flexibilities to curb harmful emissions from factories while reducing the costs. Six flexibility scenarios are proposed in this study to do the sensitivity analysis. The model is applicable with the use of a real data set derived from an automotive parts factory located in Iran. We use an improved augmented ε-constraint method to address the proposed bi-objective optimization framework. The results show that choosing the model with all flexibility dimensions is the best initiative to promote sustainable development, since it leads to a significant reduction in costs and environmental pollution.
如今，就可持续发展目标而言，环境意识高度关注供应链和物流网络。这提出了一个包含供应链灵活性维度的双目标线性数学模型。所提出的模型旨在将环境因素纳入灵活的供应链作为一个优化框架。第一个目标函数是使成本最小化，而第二个目标函数是使汽车行业的环境影响最小化。本文的目标是在总成本和环境污染之间找到关于供应链灵活性维度的权衡。我们建议在模型中增加四个不同的供应链灵活性维度，即运输预算、帮助包装过程的训练有素的劳动力团队、活跃工厂的数量以及将喷漆过程灵活性外包，以减少工厂的有害排放同时降低成本。本研究提出了六种灵活性情景来进行敏感性分析。该模型适用于使用来自伊朗一家汽车零部件工厂的真实数据集。我们使用一种改进的增强型ε - 约束方法来处理所提出的双目标优化框架。结果表明，选择具有所有灵活性维度的模型是促进可持续发展的最佳举措，因为它能显著降低成本和环境污染。
