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Failure mode and effects analysis using D numbers and grey relational projection method
Affiliation:1. School of Management, Shanghai University, Shanghai 200444, PR China;2. School of Economics and Management, Tongji University, Shanghai 200092, PR China;3. School of Management, Xiamen University, Xiamen 361005, PR China;1. Department of Computer Science and Information Engineering, National Cheng Kung University, 1, University Road, Tainan City 701, Taiwan, ROC;2. Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan, ROC;3. Cloud Service Technology Center, Industrial Technology Research Institute (ITRI South), Tainan, Taiwan, ROC;1. University of Information Technology, Vietnam National University, Ho Chi Minh, Viet Nam;2. Information Technology Department, Ton Duc Thang University, Ho Chi Minh, Viet Nam;3. Department of Computer Science, University of Science, Vietnam National University, Ho Chi Minh, Viet Nam;1. National Taipei University, No. 151, University Road, San Shia District, Taipei 23741, Taiwan;2. Takming University of Science and Technology, No.56, Sec.1, Huanshan Rd., Taipei 11451, Taiwan;3. National Chengci University, No. 64, Sec. 2, Zhi-Nan Road, Taipei 11605, Taiwan;1. Faculty of Engineering & Computer Science, Concordia University, 1515 Ste-Catherine Street West, EV7.640, Montreal, Quebec, Canada H3G 2W1;2. College of Engineering, Khalifa University of Science, Technology, & Research, Abu Dhabi, United Arab Emirates;3. Faculty of Science, McGill University, Dawson Hall, 853 Sherbrooke St. West Montreal, Quebec, Canada H3A 0G5;1. Yahoo! Research Latin America, Blanco Encalada 2120, Santiago, Chile;2. Escuela de Ingeniería Informática, Universidad Diego Portales, Santiago, Chile;3. DFKI GmbH, Stuhlsatzenhausweg 3, Campus D3_2, D-66123 Saarbrücken, Germany
Abstract:Failure mode and effects analysis (FMEA) is a widely used risk assessment tool for defining, identifying and eliminating potential failures or problems in products, process, designs and services. Two critical issues of FMEA are the representation and handling of various types of assessments and the determination of risk priorities of failure modes. Many different approaches have been suggested to enhance the performance of traditional FMEA; however, deficiencies exist in these approaches. In this paper, based on a more effective representation of uncertain information, called D numbers, and an improved grey relational analysis method, grey relational projection (GRP), a new risk priority model is proposed for the risk evaluation in FMEA. In the proposed model, the assessment results of risk factors given by FMEA team members are expressed and modeled by D numbers. The GRP method is used to determine the risk priority order of the failure modes that have been identified. Finally, an illustrative case is provided to demonstrate the effectiveness and practicality of the proposed model.
Keywords:Failure mode and effects analysis  D numbers  Grey relational projection  Risk evaluation
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