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Green supply chain performance evaluation model for automotive manufacturing industries by using eco-balanced scorecard

机译:使用生态平衡记分卡的汽车制造业绿色供应链绩效评价模型

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This paper presents initial key performance indicators for green supply chain evaluation for automotive companies using eco-balanced scorecard (EBSC). Balanced scorecard consists of four perspectives such as financial, customer, learning and growth, and internal business process, here fifth perspective as an environment is included. Drawing on the five perspectives of an EBSC, this paper first summarised the evaluation indexes synthesised from the literature relating to green supply chain performance. Furthermore, the relative weights of the chosen evaluation indexes were calculated from fuzzy-analytic hierarchy process and further, the two multi-criteria decision making analytical tools of fuzzy-VIKOR and gray relational analysis were respectively adapted to rank the green supply chain performance and improve the gaps with five industries as an empirical example. It shows that the proposed fuzzy-MCDM evaluation model of green supply chain performance using the EBSC framework can be a useful and effective assessment tool.
机译:本文为使用生态平衡记分卡(EBSC)提供了用于汽车公司的绿色供应链评估的初始关键绩效指标。平衡计分卡包括四个视角,如金融,客户,学习和成长,以及内部业务流程,这是第五个视角作为环境。绘制了EBSC的五个视角,本文首先总结了从与绿色供应链性能有关的文献中合成的评价指标。此外,所选择的评估指标的相对重量由模糊分析层次处理计算,进一步计算了模糊 - vikor和灰色关系分析的两个多标准决策分析工具分别适用于对绿色供应链性能进行排名和改善。五个行业作为实证例子的差距。它表明,使用EBSC框架的绿色供应链性能的建议模糊MCDM评估模型可以是有用且有效的评估工具。

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