Prioritization of textile fabric defects using ordered weighted averaging operator

Reza Ghazi Saeidi, Amar Oukil, Gholam R. Amin, Sadigh Raissi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Prioritizing and ranking products’ defects are important decision-making problems in many manufacturing sectors. This paper proposes a methodology for ranking defects based on the ordered weighted averaging (OWA) operator. The power of the proposed approach stems from its ability to rank defects with no restriction on the application context and no limitation on the number and type of variables used. Using a case study from the textile manufacturing industry, three OWA weights generating models have been implemented and it is shown that the OWA-based ranking approach is technically robust and practically flexible as a support for decision-making.

Original languageEnglish
Pages (from-to)745-752
Number of pages8
JournalInternational Journal of Advanced Manufacturing Technology
Volume76
Issue number5-8
DOIs
Publication statusPublished - 2014

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Textiles
Defects
Decision making
Industry

Keywords

  • Data envelopment analysis
  • Defects
  • Ordered weighted averaging
  • Ranking
  • Textile manufacturing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

Prioritization of textile fabric defects using ordered weighted averaging operator. / Saeidi, Reza Ghazi; Oukil, Amar; Amin, Gholam R.; Raissi, Sadigh.

In: International Journal of Advanced Manufacturing Technology, Vol. 76, No. 5-8, 2014, p. 745-752.

Research output: Contribution to journalArticle

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