Abstract
In this paper: (i) we present a MIP model to address the Master Surgical Scheduling problem; (ii) we discuss the impact of different resources balancing strategies upon the schedule’s efficiency and robustness. Each balancing strategy is associated with a different objective function. The resources whose utilization is balanced are the Operating Rooms and the post-surgical beds. The MIP model is solved considering deterministic values for the surgical times and length of stays. The schedule robustness against the variability of both these times is assessed via discrete event simulation.
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
References
Denton, B., Viapiano, J., Vogl, A.: Optimization of surgery sequencing and scheduling decisions under uncertainty. Health Care Manag. Sci. 10, 13–24 (2007)
Beliën, J., Demeulemeester, E.: Building cyclic master surgery schedules with leveled resulting bed occupancy. Eur. J. Oper. Res. 176, 1185–1204 (2007)
Van Oostrum, J.M., Van Houdenhoven, M., Hurink, J., Hans, E., Wullink, G., Kazemier, G.: A master surgical scheduling approach for cyclic scheduling in operating room departments. OR Spectr. 30, 355–374 (2008)
Banditori, C., Cappanera, P., Visintin, F.: A combined optimization–simulation approach to the master surgical scheduling problem. IMA J. Manag. Math. 24(2), 155--187 (2013)
Cardoen, B., Demeulemeester, E., Beliën, J.: Operating room planning and scheduling: a literature review. Eur. J. Oper. Res. 201, 921–932 (2010)
Guerriero, F., Guido, R.: Operational research in the management of the operating theatre: a survey. Health Care Manag. Sci. 14, 89–114 (2011)
May, J.H., Spangler, W.E., Strum, D.P., Vargas, L.G.: The surgical scheduling problem: current research and future opportunities. Prod. Oper. Manag. 20, 392–405 (2011)
Blake, J.T., Dexter, F., Donald, J.: Operating room managers’ use of integer programming for assigning block time to surgical groups: a case study. Anesth. Analg. 94, 143–148 (2002)
Santibáñez, P., Begen, M., Atkins, D.: Surgical block scheduling in a system of hospitals: an application to resource and wait list management in a British Columbia health authority. Health Care Manag. Sci. 10, 269–282 (2007)
Zhang, B., Murali, P., Dessouki, M.M., Belson, D.: A mixed integer programming approach for allocating operating room capacity. J. Oper. Res. Soc. 60, 663–673 (2008)
Beliën, J., Demeulemeester, E., Cardoen, B.: A decision support system for cyclic master surgery scheduling with multiple objectives. J. Sched. 12, 147–161 (2009)
Field, A.: Discovering Statistics Using SPSS, 2nd edn. Sage, London (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Banditori, C., Cappanera, P., Visintin, F. (2014). Investigating the Relationship Between Resources Balancing and Robustness in Master Surgical Scheduling. In: Matta, A., Li, J., Sahin, E., Lanzarone, E., Fowler, J. (eds) Proceedings of the International Conference on Health Care Systems Engineering. Springer Proceedings in Mathematics & Statistics, vol 61. Springer, Cham. https://doi.org/10.1007/978-3-319-01848-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-01848-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01847-8
Online ISBN: 978-3-319-01848-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)