Robust simulation with a base environmental scenario

European Journal of Operational Research

Volumn 182, Issue 2, 2007, Pages 783-793

  Pierreval, Henri ^a   Durieux Paris, Séverine ^a  

^a UNIVERSITÉ BLAISE PASCAL   (France)

Author keywords

Design of experiments; Manufacturing systems; Robustness; Simulation

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; CUSTOMER SATISFACTION; DESIGN OF EXPERIMENTS; ENVIRONMENTAL IMPACT; HEURISTIC METHODS;

ENVIRONMENTAL FACTORS; ROBUST SIMULATION; TAGUCHI'S PRINCIPLES;

OPERATIONS RESEARCH;

EID: 34247614630     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2006.07.045     Document Type: Article

References (30)

1. Al-Aomar, R., 2002. A robust simulation based multicriteria optimization methodology. In: Proceedings of the 2002 Winter Simulation Conference, pp. 1931-1939.
2. Benjamin P.C., Erraguntla M., and Mayer R.J. Using simulation for robust design. Simulation 65 2 (1995) 116-127
3. Chen L.H., and Chen Y.H. A design procedure for a robust job shop manufacturing system under a constraint using computer simulation experiments. Computers and Industrial Engineering 30 1 (1996) 1-12
4. Durieux, S., Pierreval, H., 2003a. De la notion de robustesse en simulation. In: Proceedings of Conférence Francophone en Modélisation et Simulation, pp. 586-591.
5. Durieux, S., Pierreval, H., 2003b. Comparison of several design solutions of a real industrial manufacturing system using simulation and risk analysis. In: Proceedings of the Industrial Engineering and Production Management, vol. 2, pp. 145-154.
6. ® in Technology and Product Development. second ed. (1997), Addison-Wesley
7. Gaury, E., 2000. Designing pull production control systems: Customization and robustness. Published Ph.D. dissertation, University of Tilburg (CentER Series edition), Netherland and Université Blaise Pascal, Clermont Ferrand, France.
8. Goldsman D., and Nelson B.L. Comparing systems via simulation. In: Banks J. (Ed). Handbook of Simulation (1998), Wiley, New York 273-306
9. Kalagnanam J.R., and Diwekar U.M. An efficient sampling technique for off-line quality control. Technometrics 39 3 (1997) 308-319
10. Kleijnen J.P.C., and Gaury E. Short term robustness of production management systems: A case study. European Journal of Operational Research 148 (2003) 452-465
11. Kleijnen J.P.C., and Van Groenendaal W. Simulation: A Statistical Perspective (1992), John Wiley, Chichester, England
12. Law A.M., and Kelton W.D. Simulation Modeling and Analysis (2000), McGraw-Hill
13. Lim J.M., Kim K.S., Yum B.J., and Hwang H. Determination of an optimal configuration of operating policies for direct-input-output manufacturing systems using the Taguchi method. Computers Industrial Engineering 31 3/4 (1996) 555-560
14. Madu I.E., and Madu C.N. Design optimization using signal-to-noise ratio. Simulation Theory and Practice 7 (1999) 349-372
15. Mezgar I., Egresit C.S., and Monostori L. Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural networks. Computers in Industry 33 (1997) 61-70
16. Montgomery D.C. Design and Analysis of Experiments (1997), John Wiley, New York
17. Morgan M.G., and Henrion M. Uncertainty: A Guide to Deal with Uncertainty in Quantitative Risk and Policy Analysis (1990), Cambridge University Press
18. Nair V.N. Taguchi's parameter design: A panel discussion. Technometrics 34 2 (1992) 127-161
19. Peace G.S. Taguchi Methods - A Hands-On Approach (1992), Addison-Wesley Publishing Company, INC
20. Pierreval, H., Durieux, S., 2002. A two-stage simulation optimization heuristic for robust design. Proceedings of IEEE System, Man and Cybernetic, 6 p.
21. Pierreval H., and Paris J.L. Distributed evolutionary algorithms for simulation optimization. IEEE Transactions on Systems, Man and Cybernetics 30 1 (2000) 15-24
22. Ramberg, J.S., Sanchez, S.M., Sanchez, P.J., Hollick, L.J., 1991. Designing simulation experiments: Taguchi methods and response surface métamodèles. In: Proceedings of the 1991 Winter Simulation Conference, pp. 167-176.
23. Sanchez, S.M., 2000. Robust design: Seeking the best of all possible worlds. In: Proceedings of the 2000 Winter Simulation Conference, pp. 69-76.
24. Sanchez S.M., Sanchez P.J., Ramberg J.S., and Moeeni F. Effective engineering design through simulation. International Transactions in Operational Research 3 2 (1996) 169-185
25. Santner T.J., Williams B.J., and Notz W.I. The Design and Analysis of Computer Experiments (2003), Springer-Verlag, New York
26. Shang J.S. Robust design optimization of material handling resource in an FMS. International Journal of Production Research 33 9 (1995) 2437-2454
27. Tsai C.S. Evaluation and optimisation of integrated manufacturing system operations using Taguchi's experiment design in computer simulation. Computers and Industrial Engineering 43 3 (2002) 591-604
28. Tsui K.L. An overview of Taguchi method and newly developed statistical methods for robust design. IIE Transaction 24 5 (1992) 44-57
29. Wild R.H., and Pignatello J.J. An experimental design strategy for designing robust systems using discrete event simulation. Simulation 57 6 (1991) 358-368
30. Wu C.F.J., and Hamada M. Experiments: Planning, Analysis, and Parameter Design Optimization (2000), Wiley, New York