Aggregate simulation modeling of an MRI department using effective process times

F.J.A. Jansen; L.F.P. Etman; J.E. Rooda; I.J.B.F. Adan

doi:10.1109/WSC.2012.6465067

Aggregate simulation modeling of an MRI department using effective process times

F.J.A. Jansen, L.F.P. Etman, J.E. Rooda, I.J.B.F. Adan

Stochastic Operations Research - BETA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

Magnetic Resonance Imaging (MRI) requires expensive diagnostic equipment and is labor intensive. To evaluate the effective use of the MRI resources a curve of flow time versus throughput may be helpful in quantifying the trade-off between patient waiting time and resource utilization, and in providing insight into operational time losses and variability. This curve may be obtained by simulation. However, building a detailed simulation model of an MRI department requires expertise typically unavailable in hospitals. To overcome this difficulty, we seek for an appropriate aggregate model of the MRI department, either a simulation or an analytical model. The aggregate model parameters are to be determined from hospital patient arrival and departure times. We study three different aggregate models for use in the MRI setting. To be able to evaluate the prediction accuracy of the candidate aggregate models we use a detailed simulation model as virtual MRI department.

Original language	English
Title of host publication	Proceedings of the 2012 Winter Simulation Conference (Berlin, Germany, December 9-12, 2012)
Editors	C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, A.M. Uhrmacher
Pages	1-12
DOIs	https://doi.org/10.1109/WSC.2012.6465067
Publication status	Published - 2012
Event	2012 Winter Simulation Conference (WSC 2012) - Berlin, Germany Duration: 9 Dec 2012 → 12 Dec 2012

Conference

Conference	2012 Winter Simulation Conference (WSC 2012)
Abbreviated title	WSC 2012
Country	Germany
City	Berlin
Period	9/12/12 → 12/12/12

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Jansen, F. J. A., Etman, L. F. P., Rooda, J. E., & Adan, I. J. B. F. (2012). Aggregate simulation modeling of an MRI department using effective process times. In C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, & A. M. Uhrmacher (Eds.), Proceedings of the 2012 Winter Simulation Conference (Berlin, Germany, December 9-12, 2012) (pp. 1-12) https://doi.org/10.1109/WSC.2012.6465067

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abstract = "Magnetic Resonance Imaging (MRI) requires expensive diagnostic equipment and is labor intensive. To evaluate the effective use of the MRI resources a curve of flow time versus throughput may be helpful in quantifying the trade-off between patient waiting time and resource utilization, and in providing insight into operational time losses and variability. This curve may be obtained by simulation. However, building a detailed simulation model of an MRI department requires expertise typically unavailable in hospitals. To overcome this difficulty, we seek for an appropriate aggregate model of the MRI department, either a simulation or an analytical model. The aggregate model parameters are to be determined from hospital patient arrival and departure times. We study three different aggregate models for use in the MRI setting. To be able to evaluate the prediction accuracy of the candidate aggregate models we use a detailed simulation model as virtual MRI department.",

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Jansen, FJA, Etman, LFP, Rooda, JE & Adan, IJBF 2012, Aggregate simulation modeling of an MRI department using effective process times. in C Laroque, J Himmelspach, R Pasupathy, O Rose & AM Uhrmacher (eds), Proceedings of the 2012 Winter Simulation Conference (Berlin, Germany, December 9-12, 2012). pp. 1-12, 2012 Winter Simulation Conference (WSC 2012), Berlin, Germany, 9/12/12. https://doi.org/10.1109/WSC.2012.6465067

Aggregate simulation modeling of an MRI department using effective process times. / Jansen, F.J.A.; Etman, L.F.P.; Rooda, J.E.; Adan, I.J.B.F.

Proceedings of the 2012 Winter Simulation Conference (Berlin, Germany, December 9-12, 2012). ed. / C. Laroque; J. Himmelspach; R. Pasupathy; O. Rose; A.M. Uhrmacher. 2012. p. 1-12.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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