面向可持续采购的综合多准则决策和多变量分析及其在汽车工业中的应用

Sudipta Ghosh , Chiranjib Bhowmik , Sudipta Sinha , Rakesh D. Raut , Madhab Chandra Mandal , Amitava Ray
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引用次数: 2

摘要

绿色供应链管理(GSCM)已成为现代商业组织努力实现环境可持续发展的首要问题。供应商是构建绿色供应链的关键。绿色供应商选择是一项复杂的任务,包括从评估到最终选择的几个步骤。本研究旨在根据某汽车公司的GSCM实践来选择零部件供应商。从现存文献中提取了14个关键标准,并通过德尔菲研究进行了提炼。数据是通过使用结构化问卷对行业专家进行访谈收集的。本研究提出了综合多准则决策(MCDM)和具有内部一致性检验的多元分析方法。主成分分析(PCA)用于计算标准权重。简单相加加权(SAW)方法根据加权标准对供应商进行排名。结果表明,“与供应商合作进行绿色采购”是影响GSS的最重要参数。这项研究的结果可能有助于管理者通过实现可持续性来选择汽车行业最合适的绿色供应商。拟议的框架可用于选择其他行业的供应商。
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An integrated multi-criteria decision-making and multivariate analysis towards sustainable procurement with application in automotive industry

Green Supply Chain Management (GSCM) has emerged as a paramount issue in modern business organizations striving to become environmentally sustainable. Suppliers are pivotal in building a green supply chain. Green supplier selection (GSS) is a complex task involving several steps, from evaluation to final selection. This research aims to select spare parts suppliers of an automotive company based on their GSCM practices. Fourteen critical criteria are extracted from extant literature and refined through a Delphi study. The data was collected through interviews with industry experts using structured questionnaires. This study proposes integrated multi-criteria decision-making (MCDM) and multivariate analysis method with internal consistency checks. The Principal Component Analysis (PCA) is used to calculate criteria weights. A Simple Additive Weighting (SAW) method ranks the suppliers based on weighted criteria. The result shows that “collaboration with suppliers for green purchasing” is the most influential parameter for GSS. The outcome of this research may aid managers in selecting the most suitable green suppliers in the automotive industry by attaining sustainability. The proposed framework can be replicated to select suppliers in other industries.

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