Failure modes and effects analysis (FMEA) uses the product of three ranked factors to compute the risk priority number (RPN). Unfortunately, the RPN components have ambiguous definitions, and multiplying ranked values is not a valid operation. As a result, the RPN produces inconsistent risk priorities. In addition, FMEA uses distinct analyses for each system level and life cycle phase, making it difficult to consolidate interrelated risk information. The goal of scenario-based FMEA is to delineate and evaluate risk events more accurately. Probability and cost provide a consistent basis for risk analysis and decision making, and failure scenarios provide continuity across system levels and life cycle phases.
Issue Section:
Technical Papers
1.
Makino, A., P. Barkan, P., Reynolds, L., and Pfaff, E., 1989, “A Design for Serviceability Expert System,” Proceedings of the 1998 ASME Winter Annual Meeting, San Francisco, CA, pp. 213–218.
2.
Berzak, N., 1991, “Serviceability by Design,” Proceedings of the 23rd International SAMPE Technical Conference, pp. 1060–1071.
3.
DiMarco, P., Eubanks, C. F., and Ishii, K., 1995, “Service Modes and Effect Analysis: Integration of Failure Analysis and Serviceability Design,” Proceedings of the 15th Annual International Computers in Engineering Conference, Boston, MA, pp. 833–840.
4.
Gershenson, J., and Ishii, K., 1992, “Design for Serviceability,” A. Kusiak, ed., Concurrent Engineering: Theory and Practice, Wiley, New York, pp. 19–39.
5.
Gilchrist
, W.
, 1993
, “Modeling Failure Modes and Effects Analysis
,” Int. J. Quality and Reliability Management
, 10
(5
), pp. 16
–23
.6.
Harpster
, R.
, 1999
, “How to Get More Out of Your FMEAs
,” Quality Digest
, 19
(6), June 1999, pp. 40
–42
.7.
Bevilacqua
, M.
, Braglia
, M.
, and Gabbrielli
, R.
, 2000
, “Monte Carlo Simulation Approach for Modified FMECA in a Power Plant
,” Quality Reliability Engineering International
, 16
(4
), pp. 313
–324
.8.
Seo
, K.
, Park
, J.
, Jang
, D.
, and Wallace
, D.
, 2002
, “Approximate Estimation of the Product Life Cycle Cost Using Artificial Neural Networks in Conceptual Design
,” International Journal of Advanced Manufacturing Technology
, 19
(6), Springer-Verlag, London, pp. 461
–471
.9.
Jiang
, Z. H.
, Shu
, L. H.
, and Benhabib
, B.
, 2000
, “Reliability Analysis of Non-Constant-Size Part Populations in Design for Remanufacture
,” ASME J. Mech. Des.
, 122
, pp. 172
–178
.10.
Youn
, B. D.
, Choi
, K. K.
, and Park
, Y. H.
, 2003
, “Hybrid Analysis Method for Reliability-Based Design Optimization
,” ASME J. Mech. Des.
, 125
, pp. 221
–232
.11.
Du
, X.
, and Chen
, W.
, 2000
, “Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design
,” ASME J. Mech. Des.
, 122
, pp. 385
–394
.12.
Roser
, C.
, Kazmer
, D.
, and Rinderle
, J.
, 2003
, “An Economic Design Change Method
,” ASME J. Mech. Des.
, 125
, pp. 233
–239
.13.
Lee, B. H., 1999, “Design FMEA for Mechatronic Systems Using Bayesian Network Causal Models,” Proceeding of the 1999 ASME Design Engineering Technical Conference, Las Vegas, NV.
14.
He, D., and Adamyan, A., 2001, “An Impact Analysis Methodology for Design of Products and Processes for Reliability and Quality,” Proceedings of ASME Design Engineering Technical Conference, Pittsburgh, PA.
15.
Rhee, S., and Ishii, K., 2002, “Life Cost Based FMEA Incorporating Data Uncertainty,” Proceedings of ASME Design Engineering Technical Conference, Montreal, Canada.
16.
Rhee, S., and Ishii, K., 2003, “Life Cost-Based FMEA Using Empirical Data,” Proceedings of ASME Design Engineering Technical Conference, Chicago, IL.
17.
Kmenta, S., and Ishii, K., 2000, “Scenario Based FMEA: A Life Cycle Cost Perspective,” Proceedings of the 2000 Design Engineering Technical Conference, Baltimore, MD.
18.
Hauptmanns, U., and Werner, W., 1991, Engineering Risks: Evaluation and Valuation, Springer-Verlag, New York.
19.
Morgan, M. G., and Henrion, M., 1990, Uncertainty: A Guide to Dealing With Uncertainty in Quantitative Risk and Policy Analysis, Cambridge University Press, Cambridge, UK.
20.
Webster’s II New Riverside University Dictionary, 1988, Houghton Mifflin, Boston, MA.
21.
Kaplan
, S.
, and Garrick
, B. J.
, 1981
, “On the Quantitative Definition of Risk
,” Risk Anal
, 1
(1
), pp. 11
–27
.22.
Automotive Industry Action Group (AIAG), 1995, Potential Failure Modes and Effects Analysis (FMEA) Reference Manual, Detroit, MI.
23.
Stamatis, D. H., 1995, Failure Mode and Effect Analysis: FMEA from Theory to Execution, ASQC Quality Press, Milwaukee, WI.
24.
Palady, P., 1995, Failure Modes and Effects Analysis: Predicting & Preventing Problems Before They Occur, PT Publications, West Palm Beach, FL.
25.
McDermott, R. E., Mikulak, R. J., and Beauregard, M. R., 1996, The Basics of FMEA, Quality Resources, New York, NY.
26.
Humphries, S., 1994, Murphy’s Law Overruled: FMEA in Design, Manufacture and Service, B&N Humphries Learning Service Pty. Ltd., Victoria, Australia.
27.
Society of Automotive Engineers (SAE), 1994, “Potential Failure Mode and Effects Analysis in Design (Design FMEA) and Potential Failure Mode and Effects Analysis in Manufacturing and Assembly Processes (Process FMEA) Reference Manual,” Surface Vehicle Recommended Practice J1739.
28.
Bowles, J., 1998, “The New SAE FMECA Standard,” Proceedings of the 1998 IEEE Annual Reliability and Maintainability Symposium, pp. 48–53.
29.
Mock, T. J., and Grove, H. D., 1979, Measurement, Accounting, and Organizational Information, Wiley, New York, pp. 17–18.
30.
Kara-Zaitri, C., Keller, A., Barody, I., and Fleming, P., 1991, “An Improved FMEA Methodology,” Proceedings of the 1991 IEEE Annual Reliability and Maintainability Symposium, pp. 248–252.
31.
Childs, J. A., and Mosleh, A., 1999, “Modified FMEA Tool for Use in Identifying and Addressing Common Cause Failure Risks in Industry,” Proceedings of the IEEE 1999 Annual Reliability and Maintainability Symposium, pp. 19–24.
32.
Bot, Y., 1999, “FMECA Modeling—A New Approach,” Proceedings of the 1999 IEEE Annual Reliability and Maintainability Symposium, pp. 25–28.
33.
Modarres, M., 1992, What Every Engineer Should Know about Reliability and Risk Analysis, Marcel Dekker, New York, NY.
34.
Lindley, D., 1965, Introduction to Probability and Statistics from a Bayesian Viewpoint, Cambridge University Press, Cambridge.
35.
Dale
, B. G.
, and Shaw
, P.
, 1990
, “Failure Mode and Effects Analysis in the U.K. Motor Industry: A State-of-the-art Study
,” Quality Reliability Engineering International
, 6
(3
), pp. 179
–188
.36.
Rasmussen
, N. C.
, 1981
, “The Application of Probabilistic Risk Assessment Techniques to Energy Technologies
,” Prog. Energy Combust. Sci.
, 6
(1
), pp. 123
–138
.37.
Howard
, R. A.
, 1984
, “On Fates Comparable to Death
,” Manage. Sci.
, 30
(4
), pp. 407
–422
.Copyright © 2004
by ASME
You do not currently have access to this content.
