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Propagation of Epistemic Uncertainty for Design Reuse
Technical Paper
2004-01-1141
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
There are two sorts of uncertainty inherent in engineering design, the random and the epistemic. Random, or stochastic, uncertainty deals with the randomness or predictability of an event. It is well understood, easily modeled using classical probability, and ideal for such uncertainties as variations in manufacturing processes or material properties. Epistemic uncertainty deals with our lack of knowledge, our lack of information, and our own and others' subjectivity concerning design parameters. Epistemic uncertainty plays a particularly important role in the early stages of engineering design, when a lack of information about nominal values of parameters is much more important than potential variations in those parameters. Design reuse, or the design of product platforms, is an example in which epistemic uncertainty can play a crucial role in early design.
While there are many methods to incorporate random uncertainty in a design process, there are fewer that consider epistemic uncertainty. There are fewer still that attempt to incorporate both sorts of uncertainty, and those that do usually attempt to model both sorts using the same uncertainty model. Two methods, a range method and a fuzzy sets approach, are proposed to achieve designs that are robust to both epistemic uncertainty and random uncertainty. Both methods incorporate preference aggregation methods to achieve more appropriate trade-offs between performance and variability when considering both sorts of uncertainty. The proposed models for epistemic uncertainty are combined with existing models for stochastic uncertainty in a two-step process.
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Authors
Citation
Dai, Z., Scott, M., and Mourelatos, Z., "Propagation of Epistemic Uncertainty for Design Reuse," SAE Technical Paper 2004-01-1141, 2004, https://doi.org/10.4271/2004-01-1141.Also In
References
- Kraslawski Koiranen, T. 1993 Concurrent Engineering: Robust Design in Fuzzy Environment in ‘Computers And Chemical Engineering’ 17
- Arakawa, M. Yamakawa, H. 1998 Robust Design Using Fuzzy Numbers in ‘Proceedings of DETC'98 - ASME 1998 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Arakawa, M. Yamakawa, H. 2000 Robust Design Using Fuzzy Numbers(Consideration of Correlation of Design Variables in Fuzzy Operation) in ‘Proceedings of DETC'00 -ASME 2000 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Box, G. E. P. Draper, N. R. 1987 Empirical Model-building and Response Surfaces John Wiley and Sons New York
- Byrne, D. M. Taguchi, S. 1986 The Taguchi approach to parameter design in ‘Quality Congress Transaction ñ Anaheim’ ASQC 168 177
- Carlsson, C. Fuller, R. 2001 On Possibilistic Mean Value and Variance of Fuzzy Numbers in ‘Fuzzy sets and systems’ 122 315
- Chen, W. 1996 A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors in ‘ASME Journal of Mechanical Design’ ASME ASME Paper Number: 951012
- Chen, W. 1998 Quality Utility - a Compromise Programming Approach to Robust Design in ‘Proceedings of DETC'98 ñ ASME 1998 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Dai, Z.H. Scott, M.J. Mourelatos, Z.P. 2003 Robust Design Using Preference Aggregation Methods in ‘Proceedings of DETC'03 -ASME 2003 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Du, X. Chen, W. 2000 A Most Probable Point Based Method for Uncertainty Analysis in ‘Proceedings of DETC'00 -ASME 2000 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Dubois, D. Prade, H. 1987 The Mean Value of a Fuzzy Number in ‘Fuzzy sets and systems’ 24 279 300
- Garimella, W. C. R. 1999 Robust Design for Improved Vehicle Handling Under a Range of Maneuver Conditions in ‘Proceedings of DETC'99 -ASME 1999 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Gonzalez-Zugasti, J. Otto, K.N. 2000 Modular Platform-based Product Family Design in ‘Proceedings of DETC'00 -ASME 2000 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Moore, R. E. 1966 Interval Analysis Prentice-Hall Englewood Cliffs, NJ
- Nelson, S.A. Parkinson, M.B. 1999 Multi-criteria Optimization in Product Platform Design in ‘Proceedings of DETC'99 -ASME 1999 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Otto, K. N. Antonsson, E. K. 1991 Trade-Off Strategies in the Solution of Imprecise Design Problems in Terano T. et al. ‘Fuzzy Engineering toward Human Friendly Systems: Proceedings of the International Fuzzy Engineering Symposium '91 1 LIFE, IFES Yokohama, Japan 422 433
- Schleiffer, R. Sebastian, H.-J. 1999 Genetic Algorithms in Fuzzy Engineering Design in ‘Proceedings of DETC'99 -ASME 1999 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Scott, M. J. Antonsson, E. K. 1998 ‘Aggregation Functions for Engineering Design Trade-offs’ Fuzzy Sets and Systems 99 3 253 264
- Scott, M. J. Antonsson, E. K. 2000 Using Indifference Points in Engineering Decisions in ‘Proceedings of DETC'00 -ASME 2000 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Simpson, T.W. Maier, J.R.A. 1999 A Product Platform concept Exploration Method For Product Family Design in ‘Proceedings of DETC'99 -ASME 1999 Design Engineering Technical Conferences and Computers and Information in Engineering Conference’ ASME
- Zimmermann, H.-J. 1985 Fuzzy Set Theory - and Its Applications Management Science/Operations Research Kluwer- Nijhoff Publishing Boston, MA