A FUZZY INFERENCE APPROACH TO SUPPLIER SEGMENTATION FOR STRATEGIC DEVELOPMENT

Authors

  • G Rajesh Department of Mechanical Engineering, B.S.A. Crescent Institute of Science and Technology, India
  • R Raju Department of Industrial Engineering, Anna University, Chennai, India

DOI:

https://doi.org/10.7166/32-1-2286

Keywords:

Supplier segmentation, Supplier development, Fuzzy inference systems, Agility capability assessment, Business excellence, Supplier selection.

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.

Author Biographies

G Rajesh, Department of Mechanical Engineering, B.S.A. Crescent Institute of Science and Technology, India

Assistant professor,

Department of Mechanical Engineering

R Raju, Department of Industrial Engineering, Anna University, Chennai, India

Professor
Department of Industrial Engineering

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Published

2021-05-28

How to Cite

Rajesh, G., & Raju, R. (2021). A FUZZY INFERENCE APPROACH TO SUPPLIER SEGMENTATION FOR STRATEGIC DEVELOPMENT. The South African Journal of Industrial Engineering, 32(1), 44–55. https://doi.org/10.7166/32-1-2286

Issue

Vol. 32 No. 1 (2021)

Section

General Articles

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