International Journal of Computational Intelligence Systems

Volume 5, Issue 4, August 2012, Pages 611 - 626

A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process

Authors
Mehmet Ekmekçioğlu, Ahmet Can Kutlu
Corresponding Author
Mehmet Ekmekçioğlu
Received 14 August 2011, Accepted 10 May 2012, Available Online 1 August 2012.
DOI
10.1080/18756891.2012.718104How to use a DOI?
Keywords
Fuzzy Process FMEA, Fuzzy AHP, Fuzzy TOPSIS, Manufacturing process
Abstract

Process Failure Modes and Effects Analysis (PFMEA) concept, has been developed based on the success of Failure Modes and Effects Analysis (FMEA) to include a broader analysis team for the realization of a comprehensive analysis in a short time. The most common use of the PFMEA involves manufacturing processes as they are required to be closely examined against any unnatural deviation in the state of the process for producing products with consistent quality. In a typical FMEA, for each failure modes, three risk factors; severity (), occurrence (), and detectability () are evaluated and their multiplication derives the risk priority number (RPN). However there are many shortcomings of this classical crisp RPN calculation. This study introduces a fuzzy hybrid approach that allows experts to use linguistic variables for determining , , and for PFMEA by applying fuzzy ‘technique for order preference by similarity to ideal solution’ (TOPSIS) and fuzzy ‘analytical hierarchy process’ (AHP). An application to a spindle manufacturing process expresses the relevance of the fuzzy hybrid model in PFMEA.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
5 - 4
Pages
611 - 626
Publication Date
2012/08/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2012.718104How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Mehmet Ekmekçioğlu
AU  - Ahmet Can Kutlu
PY  - 2012
DA  - 2012/08/01
TI  - A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process
JO  - International Journal of Computational Intelligence Systems
SP  - 611
EP  - 626
VL  - 5
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.718104
DO  - 10.1080/18756891.2012.718104
ID  - Ekmekçioğlu2012
ER  -