A FUZZY INFERENCE APPROACH TO SUPPLIER SEGMENTATION FOR STRATEGIC DEVELOPMENT

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6 citations0/0 files storedThe South African Journal of Industrial Engineering

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Collaboration in agile enterprises Multi-Criteria Decision Making Quality and Supply Management

Abstract

A company embracing an agile strategy to win business must increase its agility and that of its strategic suppliers. Segmentation is an important tool for selecting suppliers that can be developed. This paper addresses the challenge of selecting suppliers in order to develop their agility. A novel segmentation of strategic suppliers is done on the dimensions of agility capability and business excellence. The cascaded fuzzy inference system is the tool used to assess the dimensions of agility capability and business excellence and to construct a segmentation matrix. The strategic segmentation matrix helps to identify suppliers that the company can develop.

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References

2013Multi criteria decision making approaches for green supplier evaluation and selection: a literature review 2012Application of decision-making techniques in supplier selection: A systematic review of literature 1998Strategic Supplier Segmentation: The Next “Best Practice” in Supply Chain Management 2012Sustainable supplier selection: A ranking model based on fuzzy inference system 1998An empirical investigation of supplier development: reactive and strategic processes 2000Avoid the Pitfalls in Supplier Development 2015Linking supplier development to supplier segmentation using Best Worst Method 2011Enhancing enterprise agility by deploying agile drivers, capabilities and providers

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2021Supplier segmentation: A systematic literature review

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