A simulation clock-based solution to the frequency domain experiment indexing problem

IIE Transactions (Institute of Industrial Engineers)

Volumn 29, Issue 9, 1997, Pages 769-782

  Hazra, Mousumi M ^a   Morrice, Douglas J ^b   Park, Stephen K ^c  

^a TEKTRONIX INC   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c The College of William and Mary   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; COMPUTER SIMULATION; DATA STRUCTURES; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; OPTIMIZATION; PROBLEM SOLVING; SENSITIVITY ANALYSIS;

DISCRETE EVENT SIMULATIONS; DISCRETE OSCILLATION INDEX; FREQUENCY DOMAIN EXPERIMENTS (FDE);

INDEXING (OF INFORMATION);

EID: 0031224366     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408179708966387     Document Type: Article

References (17)

1. Schruben, L.W., and Coghano, V.J., (1987) An experimental procedure for simulation response surface model identification. Communications of the Association for Computing Machinery, 30 (8), 716–730.
2. Som, T.K., Sargent, R G., and Schruben, L W., (1987) Frequency domain meta-modehng of a feedback queue, in Proceedings of the 1987 Winter Simulation Conference, Thesen, A., Grant H. and Kelton W.D. (eds), IEEE pp. 419–423.
3. Jacobson, S.H., Morrice, D.J., and Schruben, L.W., (1988) The global simulation clock as the frequency domain experiment index, in Proceedings of the 1988 Winter Simulation Conference, Abrams, M.A., Haigh, P.L., and Comfort, J.C. (eds), IEEE pp. 558–563.
4. Sargent, R.G., and Som, T.K., (1992) Current issues in frequency domain experimentation. Management Science, 38 (5), 667–687.
5. Morrice, D.J., and Schruben, L.W., (1993) Simulation factor screening using harmonic analysis. Management Science, 39 (12), 1459–1476.
6. Jacobson, S.H., Buss, A.H., and Schruben, L.W., (1991) Driving frequency selection for frequency domain simulation experiments. Operations Research, 39 (6), 917–924.
7. Morrice, D.J., (1990) Simulation factor screening. Ph.D. dissertation, School of Operations Research and Industrial Engineenng, Cornell University, Ithaca, NY.
8. Priestley, M.B., (1981) btSpectral Analysis and Time Seriesjt, Academic Press, San Diego.
9. IMSL, (1987) IMSL STATjLIBRARY FORTRAN Routines for Statistical Analysis (Version 1.0). Distributed by International Mathematical and Statistical Libraries, Inc., Houston, TX.
10. Ross, S.M., (1980) Introduction to Probability Models, 2nd edn. Academic Press, New York.
11. Mitra, M., and Park, S.K., (1991) Solution to the indexing problem of frequency domain simulation experiments, in Proceedings of the 1991 Winter Simulation Conference, Nelson, B.L., Kelton, W.D. and Clark, G.M. (eds), IEEE pp. 907–915.
12. Law, A.M., and Kelton, W.D., (1991) Simulation Modeling and Analysis, 2nd edn, McGraw-Hill, New York.
13. Billingsley, P., (1968) Convergence of Probability Measures. John Wiley & Sons, New York.
14. Sanchez, P.J., and Sanchez, S.M., (1991) Design of frequency-domain experiments for discrete-valued factors. Applied Mathematics and Computation, 42 (1), 1–21.
15. Morrice, D.J., and Lelas, V., (1994) Experiments with discrete-level input factors in computer simulation sensitivity analysis. Working Paper, Department of Management Science and Information Systems, The University of Texas at Austin.
16. Hazra, M.M., (1993) Fourier analysis of frequency domain discrete- event simulation experiments. Ph.D. dissertation, Department of Computer Science, College of William and Mary, Williamsburg, VA.
17. Gross, D., and Harris, C.M., (1985) Fundamentals of Queueing Theory, 2nd edn, John Wiley & Sons, New York.