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A statistical process control approach to selecting a warm-up period for a discrete-event simulation

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  • Robinson, Stewart

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  • Robinson, Stewart, 2007. "A statistical process control approach to selecting a warm-up period for a discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 176(1), pages 332-346, January.
    • Handle: RePEc:eee:ejores:v:176:y:2007:i:1:p:332-346
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    1. B L MacCarthy & T Wasusri, 2001. "Statistical process control for monitoring scheduling performance—addressing the problem of correlated data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(7), pages 810-820, July.
    2. Roth, Emily, 1994. "The relaxation time heuristic for the initial transient problem in M/M/k queueing systems," European Journal of Operational Research, Elsevier, vol. 72(2), pages 376-386, January.
    3. R. W. Conway, 1963. "Some Tactical Problems in Digital Simulation," Management Science, INFORMS, vol. 10(1), pages 47-61, October.
    4. George S. Fishman, 1978. "Grouping Observations in Digital Simulation," Management Science, INFORMS, vol. 24(5), pages 510-521, January.
    5. George S. Fishman, 1971. "Estimating Sample Size in Computing Simulation Experiments," Management Science, INFORMS, vol. 18(1), pages 21-38, September.
    6. Lee W. Schruben, 1982. "Detecting Initialization Bias in Simulation Output," Operations Research, INFORMS, vol. 30(3), pages 569-590, June.
    7. L. Schruben & H. Singh & L. Tierney, 1983. "Optimal Tests for Initialization Bias in Simulation Output," Operations Research, INFORMS, vol. 31(6), pages 1167-1178, December.
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    Cited by:

    1. Smith, J. MacGregor & Cruz, F.R.B. & van Woensel, T., 2010. "Topological network design of general, finite, multi-server queueing networks," European Journal of Operational Research, Elsevier, vol. 201(2), pages 427-441, March.
    2. Kamran, Mehdi A. & Kia, Reza & Goodarzian, Fariba & Ghasemi, Peiman, 2023. "A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

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