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Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices

机译：可持续实施有效的绿色供应链管理实践的多标准决策支持框架

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摘要

At present, environmental issues become real critical barriers for many supply chain corporations concerning the sustainability of their businesses. In this context, several studies have been proposed from both academia and industry trying to develop new measurements related to green supply chain management (GSCM) practices to overcome these barriers, which will help create new environmental strategies, implementing those practices in their manufacturing processes. The objective of this study is to present the technical and analytical contribution that multi-criteria decision making analysis (MCDA) can bring to environmental decision making problems, and especially to GSCM field. For this reason, a multi-criteria decision-making methodology, combining fuzzy analytical hierarchy process and fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS), is proposed to contribute to a better understanding of new sustainable strategies through the identification and evaluation of the most appropriate GSCM practices to be adopted by industrial organizations. The fuzzy AHP process is used to construct hierarchies of the influential criteria, and then identify the importance weights of the selected criteria, while the fuzzy TOPSIS process employs these weighted criteria as inputs to evaluate and measure the performance of each alternative. To illustrate the effectiveness and performance of our MCDA approach, we have applied it to a chemical industry corporation located in Safi, Morocco.
机译：当前，环境问题已成为许多供应链公司业务可持续发展的真正关键障碍。在这种情况下，学术界和工业界都提出了几项研究，试图开发与绿色供应链管理（GSCM）措施相关的新衡量标准，以克服这些障碍，这将有助于创建新的环境战略，并在其制造过程中实施这些措施。本研究的目的是介绍多标准决策分析（MCDA）可以为环境决策问题，尤其是对GSCM领域带来的技术和分析贡献。因此，提出了一种多准则决策方法，该方法将模糊分析层次过程和模糊技术相结合，以类似于理想解决方案的方式优先选择订单（模糊TOPSIS），从而有助于通过识别和识别更好地理解新的可持续战略。评估将由工业组织采用的最合适的GSCM做法。模糊AHP过程用于构建影响标准的层次结构，然后确定所选标准的重要性权重，而模糊TOPSIS过程则将这些加权标准用作输入，以评估和衡量每个备选方案的性能。为了说明我们的MCDA方法的有效性和性能，我们将其应用于位于摩洛哥萨菲的一家化学工业公司。

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