An innovative approach integrating 2-tuple and lowga operators in process failure mode and effects analysis

Kuei Hu Chang*, Yung-Chia Chang, Ta Chun Wen, Ching Hsue Cheng

*Corresponding author for this work

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

Process failure mode and effects analysis (FMEA) is used in the high-tech industry to assure process robustness. Traditionally, process FMEA uses the risk priority number (RPN) to evaluate the risk of failure. However, the RPN method has several main shortcomings. In order to improve the method of RPN evaluation, this paper proposes an innovative approach, integrating 2-tuple and the linguistic ordered weighted geometric averaging (LOWGA) operator in process FMEA. The main purpose of this study is to effectively resolve the main shortcomings of RPN evaluation to assure product and process robustness. In numerical verification, process FMEA of the color super-twisted nematic (CSTN) product is presented to further illustrate the proposed approach. After comparing the result that was obtained from the proposed method with both the traditional RPN method and the LOWGA method, it was found that the proposed approach provided a more accurate and reasonable ranking of the risk of failure. Moreover, the proposed method does not lose the useful information provided by the experts.

Original languageEnglish
Pages (from-to)747-761
Number of pages15
JournalInternational Journal of Innovative Computing, Information and Control
Volume8
Issue number1 B
StatePublished - 1 Jan 2012

Keywords

  • Color super-twisted nematic
  • Linguistic ordered weighted geometric averaging
  • Process failure mode and effects analysis
  • Risk priority number

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