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Simulation optimization for an emergency department healthcare unit in Kuwait

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  • Ahmed, Mohamed A.
  • Alkhamis, Talal M.

Abstract

This paper integrates simulation with optimization to design a decision support tool for the operation of an emergency department unit at a governmental hospital in Kuwait. The hospital provides a set of services for different categories of patients. We present a methodology that uses system simulation combined with optimization to determine the optimal number of doctors, lab technicians and nurses required to maximize patient throughput and to reduce patient time in the system subject to budget restrictions. The major objective of this decision supporting tool is to evaluate the impact of various staffing levels on service efficiency. Experimental results show that by using current hospital resources, the optimization simulation model generates optimal staffing allocation that would allow 28% increase in patient throughput and an average of 40% reduction in patients' waiting time.

Suggested Citation

  • Ahmed, Mohamed A. & Alkhamis, Talal M., 2009. "Simulation optimization for an emergency department healthcare unit in Kuwait," European Journal of Operational Research, Elsevier, vol. 198(3), pages 936-942, November.
    • Handle: RePEc:eee:ejores:v:198:y:2009:i:3:p:936-942
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    References listed on IDEAS

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    1. Steffen Flessa, 2000. "Where efficiency saves lives: A linear programme for the optimal allocation of health care resources in developing countries," Health Care Management Science, Springer, vol. 3(3), pages 249-267, June.
    2. Justin Boesel & Barry L. Nelson & Seong-Hee Kim, 2003. "Using Ranking and Selection to “Clean Up” after Simulation Optimization," Operations Research, INFORMS, vol. 51(5), pages 814-825, October.
    3. Sigrún Andradóttir, 1995. "A Method for Discrete Stochastic Optimization," Management Science, INFORMS, vol. 41(12), pages 1946-1961, December.
    4. Mahmoud H. Alrefaei & Sigrún Andradóttir, 1999. "A Simulated Annealing Algorithm with Constant Temperature for Discrete Stochastic Optimization," Management Science, INFORMS, vol. 45(5), pages 748-764, May.
    5. Huguette Beaulieu & Jacques Ferland & Bernard Gendron & Philippe Michelon, 2000. "A mathematical programming approach for scheduling physicians in the emergency room," Health Care Management Science, Springer, vol. 3(3), pages 193-200, June.
    6. John Butler & Douglas J. Morrice & Peter W. Mullarkey, 2001. "A Multiple Attribute Utility Theory Approach to Ranking and Selection," Management Science, INFORMS, vol. 47(6), pages 800-816, June.
    7. Alkhamis, Talal M. & Ahmed, Mohamed A. & Tuan, Vu Kim, 1999. "Simulated annealing for discrete optimization with estimation," European Journal of Operational Research, Elsevier, vol. 116(3), pages 530-544, August.
    8. M. J. Ferreira De Oliveira, 1999. "3d Visual Simulation Platform For The Project Of A New Hospital Facility," World Scientific Book Chapters, in: V De Angelis & N Ricciardi & G Storchi (ed.), Monitoring, Evaluating, Planning Health Services, chapter 4, pages 39-52, World Scientific Publishing Co. Pte. Ltd..
    9. De Angelis, Vanda & Felici, Giovanni & Impelluso, Paolo, 2003. "Integrating simulation and optimisation in health care centre management," European Journal of Operational Research, Elsevier, vol. 150(1), pages 101-114, October.
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