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• W2120485355 abstract "Supplier selection plays an important role in the management of a supply chain. Recent emphasis on sustainability has made this selection more complex. Decision support tools and methodologies can help organizations and supply chain managers make more effective decisions. Many tools have been developed with a variety of formal modeling techniques. These techniques may be limited for a variety of reasons. To help advance this area of research and to help further integrate sustainability discussion into the supplier selection modeling area, we expand on a novel approach first introduced by Li, Yamaguchi, and Nagai (2008). This approach utilizes grey system and rough set theory. Our expansion and contribution includes introduction of additional levels of analysis and application of this methodology, the explicit consideration of sustainability attributes, and insights into the technique with some sensitivity analysis. Implications of the methodology and future research directions, further expanding the methodology and its applications, conclude the paper." @default.
• W2120485355 created "2016-06-24" @default.
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• W2120485355 date "2009-01-01" @default.
• W2120485355 modified "2023-09-27" @default.
• W2120485355 title "Supplier Selection and Sustainability: A Grey Rough Set Evaluation" @default.
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• W2120485355 hasPublicationYear "2009" @default.
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