標題: AN INNOVATIVE APPROACH INTEGRATING 2-TUPLE AND LOWGA OPERATORS IN PROCESS FAILURE MODE AND EFFECTS ANALYSIS
作者: Chang, Kuei-Hu
Chang, Yung-Chia
Wen, Ta-Chun
Cheng, Ching-Hsue
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Process failure mode and effects analysis;Linguistic ordered weighted geometric averaging;Risk priority number;Color super-twisted nematic
公開日期: 1-Jan-2012
摘要: 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.
URI: http://hdl.handle.net/11536/15281
ISSN: 1349-4198
期刊: INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
Volume: 8
Issue: 1B
起始頁: 747
結束頁: 761
Appears in Collections:Articles