AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING

Failure mode and effect analysis (FMEA) methodology widely used in a variety of areas to evaluate the potential failure modes or to make decision with corrective actions, either for a process or a product. FMEA is a group activity which can involved up to a high number of team members or experts, po...

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Main Author: CHEW, JOLENE
Format: Final Year Project Report
Language:English
Published: UNIVERSITI MALAYSIA SARAWAK(UNIMAS) 2019
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Online Access:http://ir.unimas.my/id/eprint/32526/1/Chew%20Jolene%20ft.pdf
http://ir.unimas.my/id/eprint/32526/
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spelling my.unimas.ir.325262023-02-28T02:12:10Z http://ir.unimas.my/id/eprint/32526/ AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING CHEW, JOLENE TK Electrical engineering. Electronics Nuclear engineering Failure mode and effect analysis (FMEA) methodology widely used in a variety of areas to evaluate the potential failure modes or to make decision with corrective actions, either for a process or a product. FMEA is a group activity which can involved up to a high number of team members or experts, potentially more than 20, and with different knowledge, experience and/or background. In practice, it is challenging to agree with a consensus decision, if a larger number of members involved. To the best of our knowledge, devising solution for such problem is new. Motivated from this problem, a new approach adopting a consensus model for FMEA is developed and evaluated. The aim of this project is to apply fuzzy group decision making with consensus to FMEA. The applicability of the proposed approach to cope with the consensus in group decision making of FMEA is presented. The usefulness of proposed approach is evaluated by two benchmark information with different ratings which are fuzzy and non-fuzzy ratings. The first benchmark information is on designing the fire system of a yacht with non-fuzzy ratings and for the second benchmark information is on the nuclear reheat valve system with the ratings of fuzzy. The usefulness of the new approach (consensus model) is justified by the results when handling the consensus group decision making problem in FMEA. UNIVERSITI MALAYSIA SARAWAK(UNIMAS) 2019 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/32526/1/Chew%20Jolene%20ft.pdf CHEW, JOLENE (2019) AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
CHEW, JOLENE
AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING
description Failure mode and effect analysis (FMEA) methodology widely used in a variety of areas to evaluate the potential failure modes or to make decision with corrective actions, either for a process or a product. FMEA is a group activity which can involved up to a high number of team members or experts, potentially more than 20, and with different knowledge, experience and/or background. In practice, it is challenging to agree with a consensus decision, if a larger number of members involved. To the best of our knowledge, devising solution for such problem is new. Motivated from this problem, a new approach adopting a consensus model for FMEA is developed and evaluated. The aim of this project is to apply fuzzy group decision making with consensus to FMEA. The applicability of the proposed approach to cope with the consensus in group decision making of FMEA is presented. The usefulness of proposed approach is evaluated by two benchmark information with different ratings which are fuzzy and non-fuzzy ratings. The first benchmark information is on designing the fire system of a yacht with non-fuzzy ratings and for the second benchmark information is on the nuclear reheat valve system with the ratings of fuzzy. The usefulness of the new approach (consensus model) is justified by the results when handling the consensus group decision making problem in FMEA.
format Final Year Project Report
author CHEW, JOLENE
author_facet CHEW, JOLENE
author_sort CHEW, JOLENE
title AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING
title_short AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING
title_full AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING
title_fullStr AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING
title_full_unstemmed AN IMPROVED FUZZY FAILURE MODE AND EFFECT ANALYSIS METHODOLOGY WITH GROUP DECISION MAKING
title_sort improved fuzzy failure mode and effect analysis methodology with group decision making
publisher UNIVERSITI MALAYSIA SARAWAK(UNIMAS)
publishDate 2019
url http://ir.unimas.my/id/eprint/32526/1/Chew%20Jolene%20ft.pdf
http://ir.unimas.my/id/eprint/32526/
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score 13.18916