Journal
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume 30, Issue 4, Pages 473-486Publisher
WILEY
DOI: 10.1002/qre.1500
Keywords
failure mode and effects analysis; subjectivity and vagueness; rough interval; rough group TOPSIS
Categories
Funding
- Shanghai Research Center for Industrial Informatics
- Shanghai Key Lab of Advanced Manufacturing Environment
Ask authors/readers for more resources
This study aims at improving the effectiveness of failure mode and effect analysis (FMEA) technique. FMEA is a widely used technique for identifying and eliminating known or potential failures from system, design, and process. However, in conventional FMEA, risk factors of Severity (S), Occurrence (O), and Detection difficulty (D) are simply multiplied to obtain a crisp risk priority number without considering the subjectivity and vagueness in decision makers' judgments. Besides, the weights for risk factors S, O, and D are also ignored. As a result, the effectiveness and accuracy of the FMEA are affected. To solve this problem, a novel FMEA approach for obtaining a more rational rank of failure modes is proposed. Basically, two stages of evaluation process are described: the determination of risk factors' weights and ranking the risk for the failure modes. A rough group Technique for Order Performance by Similarity to Ideal Solution' (TOPSIS) method is used to evaluate the risk of failure mode. The novel approach integrates the strength of rough set theory in handling vagueness and the merit of TOPSIS in modeling multi-criteria decision making. Finally, an application in steam valve system is provided to demonstrate the potential of the methodology under vague and subjective environment. Copyright (c) 2013 John Wiley & Sons, Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available