Methodology for determining the acceptability of system designs in uncertain environments

European Journal of Operational Research

Volumn 209, Issue 2, 2011, Pages 176-183

  Kleijnen, Jack P C ^a   Pierreval, Henri ^b,c   Zhang, Jin ^a  

^a TILBURG UNIVERSITY   (Netherlands)

^b UNIVERSITÉ BLAISE PASCAL   (France)

^c Campus de Clermont Ferrand les Cézeaux ^*  (France)

Author keywords

Bootstrap; Design; Risk analysis; Robustness and sensitivity analysis; Simulation; Uncertainty modeling

Indexed keywords

BOOTSTRAP; ENGINEERING DESIGN; ENVIRONMENTAL PARAMETER; FIRST-ORDER; INPUT/OUTPUT DATUM; MANUFACTURING SYSTEM; META MODEL; METAMODELING; PARAMETER VALUES; PRO ACTIVES; PRODUCTION SYSTEM; ROBUSTNESS AND SENSITIVITY ANALYSIS; SERVICE TIME; SIMULATION; STATISTICAL DESIGN; SYSTEM DESIGN; UNCERTAIN ENVIRONMENTS; UNCERTAIN PARAMETERS; UNCERTAINTY MODELING;

DESIGN OF EXPERIMENTS; MANAGEMENT; MANAGERS; RISK ANALYSIS; RISK ASSESSMENT; SENSITIVITY ANALYSIS; STATISTICAL METHODS;

UNCERTAINTY ANALYSIS;

EID: 78649486616     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2010.09.026     Document Type: Article

References (23)

1. G.E. Apostolakis The concept of probability in the safety assessment of technological systems Science 250 1990 1359 1364
2. P. Artzner, F. Delbaen, J.M. Eber, and D. Heath Coherent measures of risk mathematical finance 9 3 1999 203 228
3. D. Batur, and F. Choobineh A quantile-based approach to system selection European Journal of Operational Research 202 3 2010 764 772
4. Bayarri, M.J. et al., 2005, A framework for validation of computer models. Working Paper, National Institute of Statistical Sciences (NISS), Research Triangle Park, North Carolina.
5. E. Borgonovo, and L. Peccati Managerial insights from service industry models: A new scenario decomposition method Annals of Operations Research 2009 10.1007/s10479-009-0617-1
6. E.J. Chen Some procedures of selecting the best designs with respect to quantile Simulation 84 2008 275 284
7. W.J. Conover Practical Non-parametric Statistics third ed. 1999 Wiley New York
8. E. De Rocquigny, N. Devictor, and S. Tarantola Uncertainty Settings and Natures of Uncertainty E. de Rocquigny, N. Devictor, S. Tarantola, Uncertainty in Industrial Practice 2008 Wiley Chichester, England
9. G. Dellino, J.P.C. Kleijnen, and C. Meloni Robust optimization in simulation: Taguchi and response surface methodology International Journal of Production Economics 125 1 2010 52 59
10. O. Feyzioglu, H. Pierreval, and D. Deflandre A simulation-based optimization approach to size manufacturing systems International Journal of Production Research 43 2 2005 247 266
11. M.C. Fu, L.J. Hong, and J.-Q. Hu Conditional Monte Carlo estimation of quantile sensitivities Management Science 55 12 2009 2019 2027
12. N. Geng, Z. Jiang, and F. Chen Stochastic programming based capacity planning for semiconductor wafer fab with uncertain demand and capacity wafer fab with uncertain demand and capacity European Journal of Operational Research 198 3 2009 899 908
13. W.D. Kelton, R.P. Sadowski, and D.T. Sturrock Simulation with Arena fourth ed. 2007 McGraw-Hill Boston
14. J.P.C. Kleijnen Statistical Tools for Simulation Practitioners 1987 Marcel Dekker New York
15. J.P.C. Kleijnen Design and Analysis of Simulation Experiments 2008 Springer
16. J.P.C. Kleijnen, and D. Deflandre Validation of regression metamodels in simulation: Bootstrap approach European Journal of Operational Research 170 1 2006 120 131
17. Lee, H., Banerjee, A., 2009, Modeling and representation of manufacturing process with uncertainties using parametric modular design and xPNML. In: International Symposium on Collaborative Technologies and Systems, CTS, Article no. 5067521, pp. 512-519.
18. Li, H-X, Liu, Z., 2009, A probabilistic fuzzy logic system: Learning in the stochastic environment with incomplete dynamics. In: Conference Proceedings on IEEE International Conference on Systems, Man and Cybernetics, Article no. 5346199, pp. 383-388.
19. M.K. Nejad, F. Vignat, and F. Villeneuve Simulation of the geometrical defects of manufacturing The International Journal of Advanced Manufacturing Technology 45 7-8 2009 631 648
20. Oden, J.T., 2006. Revolutionizing engineering science through simulation. National Science Foundation (NSF), Blue Ribbon Panel on Simulation-Based Engineering Science.
21. H. Pierreval, and S. Durieux Robust simulation with a base environmental scenario European Journal of Operational Research 182 2007 783 793
22. G. Taguchi System of experimental designs UNIPUB/ Krauss International vols. 1 and 2 1987 White Plains New York
23. B.P. Zeigler, H. Praehofer, and T.G. Kim Theory of Modeling and Simulation second ed. 2000 Academic Press San Diego