So many factors, so little time...Simulation experiments in the frequency domain

International Journal of Production Economics

Volumn 103, Issue 1, 2006, Pages 149-165

  Sanchez, Susan M ^a   Moeeni, Farhad ^b   Sanchez, Paul J ^a  

^a NAVAL POSTGRADUATE SCHOOL   (United States)

^b ARKANSAS STATE UNIVERSITY   (United States)

Author keywords

Design of experiments; Just in time manufacturing; Production planning

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; CORRELATION THEORY; FREQUENCY DOMAIN ANALYSIS; JUST IN TIME PRODUCTION; STRATEGIC PLANNING;

DESIGN OF EXPERIMENTS; JUST-IN-TIME MANUFACTURING; PRODUCTION PLANNING; PRODUCTION SYSTEMS;

PRODUCTION ENGINEERING;

EID: 33744983282     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2005.06.007     Document Type: Article

References (29)

1. Box G.E.P., Hunter W.G., and Hunter J.S. Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building (1978), Wiley, New York
2. Cabrera-Rios M., Mount-Campbell C.A., and Irani S.A. An approach to the design of a manufacturing cell under economic considerations. International Journal of Production Economics 78 (2002) 223-237
3. Chatfield C. The Analysis of Time Series: An Introduction. 6th ed (2004), CRC Press LLC, Boca Raton, FL
4. Enns S.T. An integrated system for controlling work load and flow in a job shop. International Journal of Production Research 33 (1995) 2801-2820
5. Jacobson S.H., Buss A.H., and Schruben L.W. Driving frequency selection for frequency domain simulation experiments. Operations Research 39 (1991) 917-924
6. Jensen J.B., Malhotra M.K., and Philipoom P.R. Machine dedication and process flexibility in a group technology environment. Journal of Operations Management 14 (1996) 19-39
7. Kim S.-C., and Bobrowski P.M. Evaluating order release mechanisms in a job-shop with sequence-dependent setup times. Production & Operations Management 4 (1995) 165-180
8. Klassen K.J., and Rohleder T.R. Scheduling outpatient appointments in a dynamic environment. Journal of Operations Management 14 (1996) 83-101
9. Kleijnen J.P.C. Simulation and optimization in production planning: a case study. Decision Support Systems 9 (1993) 269-280
10. Kleijnen J.P.C., Sanchez S.M., Lucas T.W., and Cioppa T.M. A user's guide to the brave new world of simulation experiments (with online supplement). INFORMS Journal on Computing 17 (2005) 263-289
11. Krajewski L.J., King B.E., Ritzman L.P., and Wong D.S. Kanban, MRP, and shaping the manufacturing environment. Management Science 33 (1987) 39-57
12. Law A.M., and Kelton W.D. Simulation Modeling and Analysis. third ed (2000), McGraw-Hill, New York
13. Malhotra M.K., and Ritzman L.P. Scheduling flexibility in the service sector: a postal case study. Production & Operations Management 3 (1994) 100-117
14. Moeeni F., and Chang Y.L. An approximate solution to deterministic kanban systems. Decision Sciences 21 (1990) 596-607
15. Moeeni F., Sanchez S.M., and Vakharia A.J. A robust design framework for just-in-time systems with kanban. International Journal of Production Research 35 (1997) 2821-2838
16. Montgomery D.C. Design and Analysis of Experiments. fifth ed (2000), Wiley, New York
17. Morrice D.J., and Jacobson S.H. Amplitude selection in transient sensitivity analysis. In: Alexopoulos C., Kang K., Lilegdon W.R., and Goldsman D. (Eds). Proceedings of the 1995 Winter Simulation Conference (1995), Institute of Electrical and Electronic Engineers, Piscataway, NJ 330-335
18. Morrice D.J., and Schruben L.W. Simulation factor screening using harmonic analysis. Management Science 39 (1993) 1459-1476
19. NIST/SEMATECH, 2005. e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/ (accessed online on March 25, 2005).
20. Robinson J.K., Schruben L.W., and Fowler J.W. Experimentation with large-scale semiconductor simulations: a frequency domain approach to factor screening. In: Mitta D., Burke L., Tonkay G., English J., Galliamore J., and Klutke G. (Eds). Proceedings of the Institute of Industrial Engineers Research Conference (1993), Institute of Electrical and Electronic Engineers, Piscataway, NJ 112-116
21. Sanchez P.J., and Buss A.H. A model for frequency domain experiments. In: Thesen A., Grant H., and Kelton W.D. (Eds). Proceedings of the 1987 Winter Simulation Conference (1987), Institute of Electrical and Electronic Engineers, Piscataway, NJ 424-427
22. Sanchez P.J., and Sanchez S.M. Design of frequency domain experiments for discrete-valued factors. Applied Mathematics and Computation 42 (1991) 1-21
23. Sanchez P.J., Head K.L., and Ramberg J.S. Life in the fast lane: Yates' algorithm, fast Fourier and Walsh transforms. In: Dror M., L'Ecuyer P., and Szidarovszky F. (Eds). Modeling Uncertainty (2001), Kluwer Academic Publishers, Norwell, MA 652-684
24. Sanchez S.M., and Konana P. Efficient data allocation for frequency domain experimentation. Operations Research Letters 26 (2000) 81-89
25. Sanchez, S.M., Sanchez, P.J., 2005. Very large fractional factorial and central composite designs. Working Paper, Operations Research Department, Naval Postgraduate School, Monterey, CA.
26. Sanchez S.M., and Wu H.-F. Frequency-based designs for terminating simulation experiments: a peace-enforcement example. In: Chick S., Sánchez P.J., Ferrin D., and Morrice D. (Eds). Proceedings of the 2003 Winter Simulation Conference (2003), Institute of Electrical and Electronic Engineers, Piscataway, NJ 952-959
27. Sargent R.G., and Som T.K. Current issues in frequency domain experimentation. Management Science 38 (1992) 667-687
28. Schruben L.W., and Cogliano V.J. An experimental procedure for simulation response surface model identification. Communications of the ACM 30 (1987) 716-730
29. Vakharia A.J., Parmenter D., and Sanchez S.M. The operating impact of parts commonality. Journal of Operations Management 14 (1996) 3-18