A value-of-information based approach to simulation model refinement

Engineering Optimization

Volumn 40, Issue 3, 2008, Pages 223-251

  Panchal, Jitesh H ^b   Paredis, Christiaan J J ^b   Allen, Janet K ^b   Mistree, Farrokh ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b NONE

Author keywords

Decision making; Refinement; Simulation models; Value of information

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; PROBABILITY DISTRIBUTIONS; SOFTWARE ENGINEERING; SYSTEMS ANALYSIS; UNCERTAINTY ANALYSIS;

COMPUTATIONAL COST; ENGINEERING DESIGN; MODEL REFINEMENT; SIMULATION MODELS; VALUE-OF-INFORMATION;

MATHEMATICAL MODELS;

EID: 38949204849     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150701690764     Document Type: Article

References (33)

1. Agogino, A.M., 1997. Information in the design process. In Frontiers of engineering: reports on leading edge engineering from the 1996 NAE symposium on frontiers of engineering, National Academy of Engineering, National Academic Press, Washington, D.C. pp. 13-16.
2. Antonsson, E.K. (Editor), 2001 Imprecision in engineering design. Pasadena, CA: California Institute of Technology Available online at: http://www.design.caltech.edu/Research/trprecise/Reading-List/.
3. Antonsson, E.K. and Otto, K.N., 1995. Imprecision in engineering design. (Special Combined Issue of the Transactions of the ASME Commemorating the 50th Anniversary of the Design. Engineering Division of the ASME). Journal of mechanical design, 117(B), 25-32.
4. Arrow, K. and Hurwicz, L., 1972. An optimality criterion for decision-making under ignorance. In: C.F. Carter and J.L. Ford, eds. Uncertainty and expectation in economics: essays in honour of G.L.S. Shackle. Oxford: Blackwell, pp. 1-11.
5. Aughenbaugh, J.M., Ling, J. and Paredis, C.J.J., 2005. Applying information economics and imprecise probabilities to data collection in design. In ASMEIMECE 2005, Computers in engineering conference, Article No. IMECE2005-81181.
6. Austin, R., 2005. Numerical simulation of the shock compaction of micmscale reactive particle systems. Thesis (MS). Georgia Institute of Technology, Atlanta.
7. Benson, D.J., 1995. A multi-material Eulerian formulation for the efficient solution of impact and penetration problems. Computational mechanics, 15 (6), 558-571.
8. Box, G.E.P., 1978. Robustness in the strategy of scientific model building. In: R.L. Launer and G.N. Wilkinson, eds. Robustness in statistics, New York: Academic, pp. 201-235.
9. Bradley, S.R. and Agogino, A.M., 1994. An intelligent real time design methodology for component selection: an approach. to managing uncertainty. Journal of mechanical design, 116 (4), 980-988.
10. Bradley, S.R., Agogino, A.M. and Wood, W.H., 1994. Intelligent engineering component catalogs. In: A rtificial intelligence in design'94. Dordrecht: Kluwer, pp. 641-658.
11. Fernández, M.G., Seepersad, CC, Rosen, D., Allen, J.K. and Mistree, F., 2005. Decision support in concurrent engineering - the utility-based selection, decision support problem. Concurrent engineering research applications, 13 (1), 13-28.
12. Ferson, S. and Donald, S., 1998. Probability bounds analysis. In: A. Mosleh and R.A. Bari, eds. Probabilistic safety assessment and management, New York: Springer, pp. 1203-1208.
13. Howard, R., 1966. Information value theory. IEEE Transactions on Systems, Sciences Cybernetics, 2 (1), 779-783.
14. Keeney, R.L. and Raiffa, H., 1976. Decisions with multiple objectives: preferences and value tradeoffs. New York: Wiley.
15. Lawrence, D.B., 1999. The economic value-of-information, New York: Springer.
16. Lewis, K. and Mistree, F., 1997. Modeling interaction in multidisciplinary design: a game theoretic approach. AIAA Journal, 35(8), 1387-1392.
17. Ling, J., 2006. Managing information collection in simulation-based design. Thesis (MS). Georgia Institute of Technology, Atlanta.
18. Marston, M., 2000. Game, baseddesign: a game theory based approach to engineering design. Dissertation (PhD). Georgia Institute of Technology, Atlanta.
19. Mistree, F., Hughes, O.F. and Bras, B.A., 1993. The compromise decision support problem and the adaptive linear programming algorithm. In: M. P. Kamat, eds. Structural optimization: status and promise. Washington, DC: AIAA, pp. 247-286.
20. Mistree, F., Smith, W.F., Bras, B.A., Allen, J.K. and Muster, D., 1990. Decision-based design: a contemporary paradigm in ship design. Transaction of the society Naval Archives of Marine engineering, 98, 565-597.
21. Moore, R.E., 1996. Interval analysis, Englewood Cliffs, NJ: Prentice-Hall.
22. Muster, D. and Mistree, F., 1988. The decision support problem technique in engineering design. International journal of applical engineering education, 4 (1), 23-33.
23. Pahl, G. and Beitz, W., 1996. Engineering design: a systematic approach, New York: Springer.
24. Panchal, J.H., 2005. A framework for simulation-based integrated design of multiscale products and design processes. Dissertation (PhD). Georgia Institute of Technology, Atlanta.
25. Poh, K.L. and Horvitz, E., 1993. Reasoning about the value of decision model refinement: methods and application. In: Proceedings of 9th conference on uncertainty in artificial intelligence, pp. 174-182.
26. Radhakrishnan, R. and McAdams, D.A., 2005. A methodology for model selection in engineering design. Journal of mechanical design, 127 (3), 378-387.
27. Seepersad, C.C., 2001. The utility-based compromise decision support problem with applications in product platform design. Thesis (MS). Georgia Institute of Technology, Atlanta.
28. Seepersad, C.C., Mistree, R and Allen, J.K., 2005. Designing evolving families of products using the utility-based compromise decision support problem. International journal of mass customisation, 1 (1), 37-64.
29. Simon, H.A., 1996. The sciences of the artificial. Cambridge, MA: MIT Press.
30. Von Neumann, J. and Morgenstern, O., 1947. The theory of games and economic behavior. Princeton, NJ: Princeton University Press.
31. Ward, A.C., Lozano-Perez, T. and Seering, W.P., 1990. Extending the constraint propagation of intervals. Artificial intelligence engineering design manufacturing, 4 (1), 47-54.
32. Wood, W.H. and Agogino, A.M., 2005. Decision-based conceptual design: modeling and navigating heterogeneous design spaces. Journal of mechanical designing, 127 (1), 2-11.
33. Wood, K.L. and Antonsson, E.K., 1989. Computations with imprecise parameters in engineering design: background and theory. ASME journal of mechanical transmission automation designing, 111 (4), 616-625.