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Efficient Probabilistic Reanalysis and Optimization of a Discrete Event System

Journal Article
2011-01-1081
ISSN: 1946-3979, e-ISSN: 1946-3987
Published April 12, 2011 by SAE International in United States
Efficient Probabilistic Reanalysis and Optimization of a Discrete Event System
Citation: Li, Y., Nikolaidis, E., and Mourelatos, Z., "Efficient Probabilistic Reanalysis and Optimization of a Discrete Event System," SAE Int. J. Mater. Manuf. 4(1):1169-1187, 2011, https://doi.org/10.4271/2011-01-1081.
Language: English

References

  1. Leeming, A.M.C. Comparison of Some Discrete Event Simulation Languages 1981
  2. Zhang, H. Tam, C.M. Li, H. Modeling uncertain activity duration by fuzzy number and discrete-event simulation European Journal of Operational Research 164 2005 715 729
  3. Ho, Y.C. Shi, L. Dai, L. Optimizing Discrete Event Dynamic Systems via the Gradient Surface Method Discrete Event Dynamic Systems: Theory and Applications 2 1992 99 120
  4. Debuse, J.C.W. Parameter optimization for a discrete event simulator Computer and Industrial Engineering 37 1999 181 184
  5. Glover, F. Laguna, M. New advances for wedding optimization and simulation 1999 Winter Simulation Conference IEEE Piscataway, NJ 255 260
  6. Farizal Nikolaidis, E. “Assessment of Imprecise Reliability Using Efficient Probabilistic Reanalysis,” SAE Technical Paper 2007-01-0552 2007 10.4271/2007-01-0552
  7. Fonseca, J. R. Friswell, M. I. Lees, A. W. Efficient robust design via Monte Carlo sample reweighting 9 August 2006 Wiley InterScience www.interscience.wiley.com 10.1002/nme.1850
  8. Fonseca, J. R. Friswell, M. I. Lees, A. W. Uncertainty identification by the maximum likelihood method Journal of Sound and Vibration 288 2005 587 599
  9. Beckman, R. J. Mckay, M.D. Monte Carlo estimation under different distributions using the same simulation Technometrics May 1987 29 2
  10. Au, S.K. Beck, J.L. A New Adaptive Importance Sampling Scheme for Reliability Calculations Structural Safety 21 1999 135 158
  11. Lu, Z. Zhang, D. One importance sampling Monte Carlo approach to uncertainty analysis for flow and transport in porous media Advances in Water Resources 26 2003 1177 1188
  12. Vanderplaats, G. N. Numerical Optimization Techniques for Engineering Design (3 th ) Vanderplaats Research and Development, Inc.
  13. Lasdon, L. S. Waren, A. D. Large Scale Nonlinear Programming Computers and Chemical Engineering 7 5 597 1983
  14. Lindley, D. V. 1952 The Theory of Queues with a Single Server Proceedings of the Cambridge Philosophical Society 48 277 289
  15. Ridgeway, G. Madigan, D. A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets September 2002
  16. Liesenfeld, R. Richard, J.F. Improving MCMC, using efficient importance sampling Computational Statistics and Data Analysis 53 2008 272 288
  17. Carter, L.L. Cashwell, E. Particle Transport Simulation with the Monte Carlo Method ERDA Critical Review Series, TID-26607 1975
  18. Haghighat, J. Monte Carlo Variance Reduction with Deterministic Importance Functions Progress in Nuclear Energy 42 1 25 53 2003
  19. Heath, D. Platen, E. A variance reduction technique based on integral representations Quantitative Finance 2 2002 362 369
  20. Szechtman, R. Control variate techniques for Monte Carlo simulation 2003 Winter Simulation Conference
  21. Reeves, J. Discrete event simulation of reusable launch vehicle ground operations (RLVSim) School of Aerospace Engineering Georgia Institute of Technology Atlanta, GA 2004 6 7
  22. Montgomery, D.C. design and analysis of experiments (5 th ) John Wiley & sons, Inc
  23. Swisher Jr. A survey of recent advances in discrete input parameter discrete-event simulation optimization IIE Transactions 2004 36 591 600
  24. Schriber, T.J. Simulation Using GPSS John Wiley & Sons New York 1974
  25. Kiviat, P. SIMSCRIPT II.5 Programming Language CACI Los Angeles, CA 1973
  26. Hollocks, B.W. Discrete-event simulation: an inquiry into user practice Simulation Practice and Theory 8 2001 451 471
  27. Law, A. Simulation Modeling and Analysis with Expertfit Software McGraw-Hill Science 2006
  28. Bank, J. Carson, J. Nelson, B.L. Discrete-event system simulation 4th edition. Prentice Hall 2004
  29. Kelton, W.D. Sadowski, R.P. Sturrock, D.T. Simulation with Arena 4th edition. McGraw-Hill 2006
  30. Chwif, L. Paul, J.R. Barretto, M. Discrete event simulation model reduction: A causal approach Simulation Modelling Practice and Theory 14 2006 930 944
  31. Yan, A. Gong, W. Time-driven fluid simulation for high-speed networks IEEE Transactions on Information Theory 45 5 1999 1588 1599
  32. Heflin, D.L. Harrell, C.R. Simulation modeling and optimization using ProModel 1998 Winter Simulation Conference IEEE Piscataway, NJ 191 197
  33. Sadowski, D. Bapat, V. The arena product family: enterprise modeling solutions 1999 Winter Simulation Conference IEEE Piscataway, NJ 159 166
  34. Nikolaidis, E. Saleem, S. Farizal, F. Probabilistic Reanalysis Using Monte Carlo Simulation 2008

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