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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of the 2012 Winter Simulation Conference (Berlin, Germany, December 9-12, 2012)
EditorsC. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, A.M. Uhrmacher
Publication statusPublished - 2012
Event2012 Winter Simulation Conference, WSC 2012 - Berlin, Germany
Duration: 9 Dec 201212 Dec 2012


Conference2012 Winter Simulation Conference, WSC 2012
Abbreviated titleWSC 2012


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