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Environmental supply chain network design using multi-objective fuzzy mathematical programming

机译:基于多目标模糊数学规划的环境供应链网络设计

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摘要

The concern about environmental impact of business activities has spurred an interest in designing environmentally conscious supply chains. This paper proposes a multi-objective fuzzy mathematical programming model for designing an environmental supply chain under inherent uncertainty of input data in such problem. The proposed model is able to consider the minimization of multiple environmental impacts beside the traditional cost minimization objective to make a fair balance between them. A life cycle assessment-based (LCA-based) method is applied to assess and quantify the environmental impact of different options for supply chain network configuration. Also, to solve the proposed multi-objective fuzzy optimization model, an interactive fuzzy solution approach is developed. A real industrial case is used to demonstrate the significance and applicability of the developed fuzzy optimization model as well as the usefulness of the proposed solution approach.
机译:对业务活动对环境影响的关注激发了人们对设计具有环境意识的供应链的兴趣。本文提出了一种多目标模糊数学规划模型,用于在输入数据固有不确定性下设计环境供应链。除了传统的成本最小化目标之外,所提出的模型还能够考虑多种环境影响的最小化,从而在两者之间取得合理的平衡。基于生命周期评估(基于LCA)的方法用于评估和量化供应链网络配置的不同选项对环境的影响。此外,为了解决所提出的多目标模糊优化模型,开发了一种交互式模糊解决方案。一个实际的工业案例被用来证明所开发的模糊优化模型的重要性和适用性,以及所提出的解决方案方法的实用性。

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