article

The GPSS Simulation of Scheduling Policies for Surgical Patients

Authors:

P. J. Kuzdrall,

Homer H. SchmitzAuthors Info & Claims

Management Science, Volume 22, Issue 9

Pages 982 - 989

https://doi.org/10.1287/mnsc.22.9.982

Published: 01 May 1976 Publication History

Abstract

The purpose of this study is to determine and evaluate utilization levels of the operating-room and recovery-room facilities of a hospital under different policy considerations governing patient flows. The utilization rates are examined under constraints that apply to the particular hospital from which the empirical data was obtained; however, the model and approach were designed with general applications in mind. The range of values for critical timing measurements is obtained from a model employing the Monte Carlo simulation technique. The model is programmed in GPSS and was run on an IBM 360/165. An optimal policy that satisfies the “real world” constraints of an active hospital is sought. The output from the model is interpreted. It is revealed that increases in facility utilization can be made while meeting the constraints dictated by normal hospital routine, thus offering the possibility of reducing costs.

References

[1]

BARNOON, S. AND WOLFE, H., "Scheduling Operation Room System: A Simulation Approach," Health Services Research, Vol. 3, pp. 272-285 (Winter 1968).

[2]

BITHELL, F. J., "A Class of Discrete-Time Models for the Study of Hospital Admission System," Operations Research, Vol. 17, pp. 48-69 (January-February 1969).

Digital Library

[3]

BLEWETT, F., GROVE, D. M., MASSINAS, A., NORMAN, J. M. AND SOUTHERN, K. M., "Computer Simulation Models for a Multi-specialty Ward," Operational Research Quarterly, Vol. 23, pp. 134-149 (June 1972).

[4]

FETTER, R. B. AND THOMPSON, J. D., "The Simulation of Hospital Systems," Operations Research, Vol. 13, pp. 689-711 (September-October 1965).

Digital Library

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FISHMAN, GEORGE, "Statistical Analysis for Queueing Simulations," Management Science, Vol. 20, pp. 363-369 (November 1973).

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IBM, General Purposes Simulation System/360, (User's Manual), GH20-326-3 (4th ed.), International Business Machines Corporation, New York, January 1970.

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KOLESAR, PETER, "A Markovian Model for Hospital Admission Scheduling," Management Science, Vol. 16, pp. B384-B396 (February 1970).

Digital Library

[8]

KUZDRALL, P. J., KWAK, N. K. AND SCHMITZ, HOMER H., "A Technical Note on the Monte Carlo Simulation of Operating-Room and Recovery-Room Usage," Operations Research, Vol. 22, pp. 434-440 (March-April 1974).

Digital Library

[9]

MEIER, ROBERT C., NEWELL, WILLIAM T. AND PAZER, HAROLD L., Simulation in Business and Economics. Prentice-Hall, Inc., Englewood Cliffs, N. J., 1969.

[10]

MILSUM, JOHN H., TURBAN, EFRAIM AND VERTINSKY, ILAN, "Hospital Admission Systems: Their Evaluation and Management," Management Science, Vol. 19, pp. 646-666 (February 1973).

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MIZE, JOE H. AND COX, J. GRADY, Essentials of Simulation, Prentice-Hall, Inc., Englewood Cliffs, N. J., 1969.

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OFFENSEND, FRED L., "A Hospital Admission System Based on Nursing Work Load," Management Science, Vol. 19, pp. 132-138 (October 1972).

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RISING, EDWARD J., BARON, ROBERT AND AVERILL, BARRY, "A Systems Analysis of a University-Health-Service Outpatient Clinic," Operations Research, Vol. 21, pp. 1030-1047 (September-October 1973).

Digital Library

[14]

ROBINSON, G. H., WING. P. AND DAVIS, L. E., "Computer Simulation of Hospital Patient Scheduling System," Health Services Research, Vol. 3, pp. 130-141 (Summer 1968).

[15]

SCHMITZ, HOMER H. AND KWAK, N. K., "Monte Carlo Simulation of Operating-Room and Recovery-Room Usage," Operations Research, Vol. 20, pp. 1171-1180 (November-December 1972).

Digital Library

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THOMPSON, J. D. AND FETTER, R. B., "Economics of Occupancy with Varying Mixes of Private and Other Patient Accommodations: A Simulation," Health Services Research, Vol. 4, pp. 42-52 (Spring 1969).

Cited By

Sobolev BSanchez VVasilakis C(2011)Systematic Review of the Use of Computer Simulation Modeling of Patient Flow in Surgical CareJournal of Medical Systems10.1007/s10916-009-9336-z35:1(1-16)Online publication date: 1-Feb-2011
https://dl.acm.org/doi/10.1007/s10916-009-9336-z
Byrkett D(1987)Implementing student projects in a simulation courseProceedings of the 19th conference on Winter simulation10.1145/318371.318391(77-81)Online publication date: 1-Dec-1987
https://dl.acm.org/doi/10.1145/318371.318391

Index Terms

The GPSS Simulation of Scheduling Policies for Surgical Patients
1. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic reasoning algorithms
      1. Markov-chain Monte Carlo methods

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cover image Management Science

Management Science Volume 22, Issue 9

May 1976

136 pages

ISSN:0025-1909

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INFORMS

Linthicum, MD, United States

Publication History

Published: 01 May 1976

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Cited By

Sobolev BSanchez VVasilakis C(2011)Systematic Review of the Use of Computer Simulation Modeling of Patient Flow in Surgical CareJournal of Medical Systems10.1007/s10916-009-9336-z35:1(1-16)Online publication date: 1-Feb-2011
https://dl.acm.org/doi/10.1007/s10916-009-9336-z
Byrkett D(1987)Implementing student projects in a simulation courseProceedings of the 19th conference on Winter simulation10.1145/318371.318391(77-81)Online publication date: 1-Dec-1987
https://dl.acm.org/doi/10.1145/318371.318391

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