Supplier selection using modified fuzzy AHP-based approach in manufacturing networks

Nan Li, Mozafar Saadat, Guiovanni Jules

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Due to the economy recession all around the world, the performance of manufacturing industry has been significantly affected. The question of how to generate fast response to customers, maintain the high quality, accurate delivery rate and low risk become the crucial issue of keeping a company competitive. Supplier selection, one of the key factors for a successful production process has attracted more attention in the recent decade. This research aims to understand the supplier selection procedure in Small to Medium-sized Enterprises (SMEs) manufacturing networks. Statistical method Kernel density estimation is integrated with Fuzzy AHP for the first time to improve the accuracy for the evaluation of suppliers against quantitative criteria. Data and information are collected from a central company which coordinates manufacturing networks of SMEs as an industrial case study. As a result, the proposed statistical analysis method for supplier evaluation with respect to quantitative criteria could successfully assist decision makers and reduce the potential bias from a visual aspect in the decision making process.

Original languageEnglish
Title of host publicationProceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Pages1847-1852
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of
Duration: 14 Oct 201217 Oct 2012

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Country/TerritoryKorea, Republic of
CitySeoul
Period14/10/1217/10/12

Keywords

  • Fuzzy AHP
  • Manufacturing network
  • Statistical analysis
  • Supplier selection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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