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首页> 外文期刊>The Journal of the Textile Institute >Supplier selection and evaluation in the garment supply chain: an integrated DEA-PCA-VIKOR approach
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Supplier selection and evaluation in the garment supply chain: an integrated DEA-PCA-VIKOR approach

机译：服装供应链中的供应商选择和评估：综合DEA-PCA-VIKOR方法

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摘要

Purchasing decisions are playing a key role in business policy. In this regard, product qualities and popularities, company's reputation and enhancing quick-response are highly dependent on the raw material suppliers' performance. In garment supply chain, these decisions are based on competitive goals to provide the most customer satisfaction. In this article, quantitative and qualitative decision-making criteria are comprehensively developed to enable the logistician to systematically evaluate and select the suppliers. Then, a three-step integrated approach is proposed to deal with the supplier selection and evaluation problem in the garment industry. In the first phase, the criteria are reduced by maintaining the maximum information and adoption of principal component analysis. In the second phase, the additive model of data envelopment analysis is enhanced by the resultant principal components to determine the efficient suppliers. Finally, the third phase is concerned with ranking of efficient suppliers through Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method as a compromise ranking approach. A numerical study in a garment supply chain is conducted to show the applicability and utility of the model development.
机译：购买决策在商业政策中发挥着关键作用。在这方面，产品质量和普及，公司的声誉和加强快速反应高度依赖于原材料供应商的表现。在服装供应链中，这些决策是基于竞争目标，以提供最多的客户满意度。在本文中，全面开发了定量和定性决策标准，以使逻辑管理员能够系统地评估和选择供应商。然后，提出了一种三步综合方法来处理服装行业的供应商选择和评估问题。在第一阶段，通过维持最大信息和采用主成分分析来减少标准。在第二阶段，由所得的主要组件增强了数据包络分析的添加剂模型，以确定有效的供应商。最后，第三阶段涉及通过VLSE Kriterijumska OptimizaCija Kompromisno Resenje（Vikor）方法作为折衷排名方法的高效供应商的排序。进行了服装供应链中的数值研究，以展示模型开发的适用性和效用。

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