A simulation metamodel for response-time planning

Decision Sciences

Volumn 29, Issue 1, 1998, Pages 217-241

  Watson, Edward F ^a   Chawda, Prabhulal P ^b   McCarthy, Brad ^b   Drevna, Michael J ^c   Sadowski, Randy P ^c  

^a LOUISIANA STATE UNIVERSITY   (United States)

^b XEROX CORPORATION   (United States)

^c Systems Modeling Corporation   (United States)

Author keywords

Case Study; Labor and Staff Planning; Metamodel; Regression; Service Operations Management; Simulation

Indexed keywords

EID: 0032222131     PISSN: 00117315     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1540-5915.1998.tb01350.x     Document Type: Article

References (32)

1. Anthony, R. N. (1965). Planning and control systems: A framework for analysis. Cambridge, MA: Harvard University Press.
2. ARENA User's Guide. (1995). Sewickley, PA: Systems Modeling Corporation.
3. Bleuel, W. H. (1975). Management science's impact on service strategy. Interfaces, 6(1), 4-12.
4. Blumberg, D. (1981). Management systems for field service productivity improvement. OMEGA: The International Journal of Management Science, 9(4), 419-428.
5. Box, G. E. P. (1954). The exploitation and exploration of response surfaces: Some general considerations and examples. Biometrics, 10(1), 16-60.
6. Box, G. E. P., & Draper, N. R. (1987). Empirical model-building and response surfaces. New York: John Wiley.
7. Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1978). Statistics for experimenters. New York: Wiley-Interscience.
8. Egbelu, P. J., & Tanchoco, J. M. (1984). Characterization of automated guided vehicle dispatching rules. International Journal of Production Research, 22(3), 359-374.
9. Friedman, L. W. (1995). The simulation metamodel. Dordrecht, The Netherlands: Kluwer Academic Publishers.
10. Friedman, L. W., & Pressman, I. (1988). The metamodel in simulation analysis: Can it be trusted? Journal of the Operational Research Society, 39(10), 939-948.
11. Hambleton, R. S. (1982). A manpower planning model for mobile repairmen. Journal of Operational Research Society, 33, 621-627.
12. Hill, A. V. (1992a). An experimental comparison of dispatching rules for field service support. Decision Sciences, 23(1), 235-249.
13. Hill, A. V. (1992b). Field service management - An integrated approach to increasing customer satisfaction. Homewood, IL: Business One Irwin.
14. Hill, A. V., March, S. T., Nachtsheim, C. J., & Shanker, M. S. (1992). An approximate model for field service territory planning. IIE Transactions, 24(1), 2-10.
15. Hunter, J. S. (1958). Determination of optimal operating conditions by experimental methods. Industrial Quality Control, 15, Part II-1.
16. Hunter, J. S. (1959a). Determination of optimal operating conditions by experimental methods. Industrial Quality Control, 16, Part II-2.
17. Hunter, J. S. (1959b). Determination of optimal operating conditions by experimental methods. Industrial Quality Control, 16, Part II-3.
18. Kern, G. M. (1985). An investigation of the interaction between police patrol allocation and dispatching policy. Unpublished Ph.D. dissertation, Indiana University, School of Business, Bloomington, IN.
19. Kleijnen, J. P. C. (1975). A comment on Blanning's metamodel for sensitivity analysis: The regression metamodel in simulation. Interfaces, 5(3), 21-23.
20. Kleijnen, J. P. C. (1992). Regression metamodels for simulation with common random numbers: Comparison of validation tests and confidence intervals. Management Science, 38(8), 1164-1185.
21. Kleinrock, L. (1975). Queueing systems volume I: Theory. New York: John Wiley.
22. Kleinrock, L. (1976). Queueing systems volume II: Computer applications. New York: John Wiley.
23. Larson, R. C. (1975). Approximating the performance of urban emergency service systems. Operations Research, 23(5), 845-855.
24. Law, A. M., & Kelton, W. D. (1991). Simulation modeling and analysis (2nd ed.). New York: McGraw-Hill.
25. Lewis, P. A. W., & Shedler, G. S. (1979). Simulation of nonhomogeneous Poisson process thinning. Naval Research Logistics Quarterly, 26(3), 403-413.
26. Madu, C. N., & Kuei, C. (1992). Regression metamodeling in computer simulation - The state of the art. Simulation Practice and Theory, 2, 27-41.
27. MINITAB, Inc. (1994). Reference manual. State College, PA.
28. Pegden, C. D., Shannon, R., & Sadowski, R. P. (1995). Introduction to simulation using SIMAN. New York: McGraw-Hill.
29. Sargent, R. G. (1991). Research issues in metamodeling. In B.L. Nelson, W. D. Kelton, & G. M. Clark (Eds.), Proceedings of the 1991 Winter Simulation Conference, Phoenix, AZ, 888-893.
30. SAS/STAT user's guide: Version 6 (4th ed.). (1990). Cary, N.C.: SAS Institute, Inc.
31. Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433-460.
32. Welch, P. D. (1983). The statistical analysis of simulation results. In S.S. Lavenberg (Ed.), The computer performance modeling handbook. New York: Academic Press, 268-328.