Global supplier development considering risk factors using fuzzy extended AHP-based approach

Tung Sun Chan, Niraj Kumar

Research output: Journal article publicationJournal articleAcademic researchpeer-review

871 Citations (Scopus)

Abstract

Global supplier development is a multi-criterion decision problem which includes both qualitative and quantitative factors. The global supplier selection problem is more complex than domestic one and it needs more critical analysis. The aim of this paper is to identify and discuss some of the important and critical decision criteria including risk factors for the development of an efficient system for global supplier selection. Fuzzy extended analytic hierarchy process (FEAHP) based methodology will be discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario. FEAHP is an efficient tool to handle the fuzziness of the data involved in deciding the preferences of different decision variables. The linguistic level of comparisons produced by the customers and experts for each comparison are tapped in the form triangular fuzzy numbers to construct fuzzy pair-wise comparison matrices. The implementation of the system is demonstrated by a problem having four stages of hierarchy which contains different criteria and attributes at wider perspective. The proposed model can provide not only a framework for the organization to select the global supplier but also has the capability to deploy the organization's strategy to its supplier.
Original languageEnglish
Pages (from-to)417-431
Number of pages15
JournalOmega
Volume35
Issue number4
DOIs
Publication statusPublished - 1 Aug 2007
Externally publishedYes

Keywords

  • Analytic hierarchy process
  • Fuzzy logic
  • Global supplier selection
  • Multi-attribute decision making problem
  • Supply chain

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

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