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ABSTRACT
Appropriate analysis of simulation output is important to the success of a simulation study. Many users, however, do not have the skills required to perform such analyses. One way of overcoming this problem is to provide automated tools for analyzing simulation output. An Excel based automated "Analyser" is described that performs an analysis of a single scenario. The Analyser links to a commercial simulation software package, SIMUL8, and provides recommendations on warm-up, number of replications and run-length. Various standard procedures are used in the Analyser with some adaptations to make them suitable for automation. This research demonstrates the potential of the approach. A requirement for further development is more thorough testing of the analysis procedures, particularly for their robustness and generality in use. Further adaptation of the procedures for automation may also be required.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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Banks, J., J. S. Carson, B. L. Nelson and D. M. Nicol. 2001. Discrete-Event System Simulation, 3rd ed. Prentice Hall, Upper Saddle River, NJ.
|
| |
2
|
|
| |
3
|
Fishman, G. 1978. Grouping Observations in Digital Simulation. Management Science, 24, 510--521.
|
| |
4
|
Fishman, G. and L. Yarberry. 1997. An Implementation of the Batch Means Method. INFORMS Journal of Computing, 9, 296--310.
|
| |
5
|
Fox, F., D. Goldsman and J. Swain. 1991. Spaced Batch Means. Operations Research Letters, 10, 255--263.
|
| |
6
|
Gafarian, A. V., C. J. Ancker and T. Morisaku. 1978. Evaluation of Commonly Used Rules for Detecting "Steady State" in Computer Simulation. Naval Research Logistics Quarterly, 25, 511--529.
|
| |
7
|
Goldsman, D., L. W. Schruben and J. J. Swain. 1994. Tests for Transient Means in Simulated Time Series. Naval Research Logistics, 41, 171--187.
|
| |
8
|
Hollocks, B. W. 2001. Discrete-Event Simulation: An Inquiry into User Practice. Simulation Practice and Theory, 8, 451--471.
|
| |
9
|
Ingalls, RG., M. D. Rossetti, J. S. Smith and B. A. Peters. 2004. Proceeding of the 2004 Winter Simulation Conference. IEEE, Piscataway, NJ.
|
| |
10
|
Law, A. and J. Carson. 1979. A Sequential Procedure for Determining the Length of a Steady-State Simulation. Operations Research, 27, 1011--1025.
|
| |
11
|
|
| |
12
|
|
| |
13
|
|
 |
14
|
|
| |
15
|
|
| |
16
|
|
| |
17
|
Roth, E. 1994. The Relaxation Time Heuristic for the Initial Transient Problem in M/M/k Queueing Systems. European Journal of Operational Research, 72, 376--386.
|
| |
18
|
Welch, P. D. 1983. The Statistical Analysis of Simulation Results. The Computer Performance Modeling Handbook (Lavenberg, S., ed.). Academic Press, New York, 268--328.
|
| |
19
|
|
| |
20
|
Wilson, J. R. and Pritsker, A. B. 1978. A Survey of Research on the Simulation Startup Problem. Simulation, 31, 55--59.
|
|