Browsing by Author "Cheng, Ching-Hsue"

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AN INNOVATIVE APPROACH INTEGRATING 2-TUPLE AND LOWGA OPERATORS IN PROCESS FAILURE MODE AND EFFECTS ANALYSIS
(2012-01-01)
Chang, Kuei-Hu
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Chang, Yung-Chia
;
Wen, Ta-Chun
;
Cheng, Ching-Hsue
;
工業工程與管理學系
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.
Reprioritization of failures in a silane supply system using an intuitionistic fuzzy set ranking technique
(2010-02-01)
Chang, Kuei-Hu
;
Cheng, Ching-Hsue
;
Chang, Yung-Chia
;
工業工程與管理學系
;
Department of Industrial Engineering and Management
Most of the current failure mode, effects, and criticality analysis (FMECA) methods use the risk priority number (RPN) value to evaluate the risk of failure. However, the traditional RPN methodology has been criticized to have several shortcomings. These shortcomings are addressed in this paper. Therefore, an efficient and simplified algorithm to evaluate the risk of failure is needed. This paper proposes a new approach, which utilizes the intuitionistic fuzzy set ranking technique for reprioritization of failures in a system FMECA. The proposed approach has two major advantages: (1) it resolves some of the shortcomings of the traditional RPN method, and (2) it provides an evaluation of the redundancy place, which can assist the designer in making correct decisions to make a safer and more reliable product design. In numerical verification, an FMECA of a silane supply system is presented as a numerical example. After comparing results from the proposed method and two other approaches, this research found that the proposed approach can reduce more duplicate RPN numbers and get a more accurate, reasonable risk ranking.