Abstract
We present a novel approach for increasing the operating room efficiency by significantly reducing the turnover time in elective surgical case scheduling. Reduced turnover time typically leads to increased surgeon utilization and increased patient throughput. Our main contribution is an optimization model for generating operating room schedules in a surgery department, where the pre-procedure of a surgical case is allowed to overlap with the procedure and post-procedure activities of an ongoing surgical case assigned to the same operating room. In addition, we present a computational experiment, where we create and compare 1-day schedules for a surgery department consisting of three operating rooms. The results of the experiment clearly show the potential of the idea of allowing overlapping surgical activities. This feature allows for significantly improved schedules compared to when no overlaps are allowed. The experiment also verifies the correctness of the optimization model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
It should be noted that our CPLEX license only allow us to use one of the cores.
References
Abdelrasol, Z.Y., Harraz, N., Eltawil, A.: A proposed solution framework for the operating room scheduling problems. WCECS 2013, 23–25 October, 2013, San Francisco, USA (2013)
Arnaout, J-P., Sevag Kulbashian, S.: Maximizing the utilization of operating rooms with stochastic times using simulation. In: Proceedings of the 2008 Winter Simulation Conference, pp. 1617–1623 (2008)
Azari-Rad, S., Yontef, A.L., Aleman, D.M., Urbach, D.R.: Reducing elective general surgery cancellations at a Canadian hospital. Can. J. Surg. 56, 113–118 (2013)
Cardoen, B., Demeulemeester, E., Beliën, J.: Operating room planning and scheduling: a literature review. Eur. J. Oper. Res. 201, 921–932 (2010)
Friedman, D.M., Sokal, S.M., Chang, Y., Berger, D.L.: Increasing operating room efficiency through parallel processing. Ann. Surg. 243, 10–14 (2006)
Gupta, D., Denton, B.: Appointment scheduling in health care: challenges and opportunities. IIE Trans. 40, 800–819 (2008)
Hans, E., Wullnik, G., van Houdenhoven, Kazemier, G.: Robust surgery loading. Eur. J. Oper. Res. 185, 1038–1050 (2008)
Pham, D.H., Klinkert, A.: Surgical case scheduling as a generalized job shop scheduling problem. Eur. J. Oper. Res. 185, 1011–1025 (2006)
Testi, A., Tanfani, E, Torre, G.: A three-phase approach for operating theatre schedules. Health Care Manag. 10, 163–172 (2007)
Acknowledgements
The authors would like to thank Maria Unbeck, Pamela Mazzocato, Helena Hvitfeldt-Forsberg, Andre Stark, Olof Sköldenberg and Paula KellyPettersson in the Q-hip research group from Department of Clincal Sciences, Danderyd Hospital and Medical Management Centre both Karolinska Institutet for valuable advices during the project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Holmgren, J., Persson, M. (2016). An Optimization Model for Sequence Dependent Parallel Operating Room Scheduling. In: Matta, A., Sahin, E., Li, J., Guinet, A., Vandaele, N. (eds) Health Care Systems Engineering for Scientists and Practitioners. Springer Proceedings in Mathematics & Statistics, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-35132-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-35132-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-35130-8
Online ISBN: 978-3-319-35132-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)