Abstract
In this paper, we propose a mixed integer goal-programming model to support the master surgical scheduling process. In order to comply with the process stakeholders, the objective function comprises four criteria, namely (1) the respect of the patients’ priorities, (2) the balancing of the utilisation of the operating rooms, (3) the balancing of the utilisation of the post-surgical units and (4) the maximisation of the number of scheduled surgeries. The model is tested on real data coming from a leading Italian hospital. The results of the preliminary numerical experiments show how the model allows obtaining reasonable trade-off among the considered objectives.
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
Adan, I., Bekkers, J., Dellaert, N., Vissers, J., Yu, X.: Patient mix optimisation and stochastic resource requirements: a case study in cardiothoracic surgery planning. Health Care Manag. Sci. 12(2), 129–141 (2009)
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)
Banditori, C., Cappanera, P., Visintin, F.: 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, Berlin (2014)
Beliën, J., Demeulemeester, E.: Building cyclic master surgery schedules with leveled resulting bed occupancy. Eur. J. Oper. Res. 176(2), 1185–1204 (2007)
Beliën, J., Demeulemeester, E., Cardoen, B.: A decision support system for cyclic master surgery scheduling with multiple objectives. J. Sched. 12(2), 147–161 (2009)
Cappanera, P., Visintin, F., Banditori, C.: Comparing resource balancing criteria in master surgical scheduling: A combined optimisation-simulation approach. Int. J. Prod. Econ. 158, 179–196 (2014)
Cardoen, B., Demeulemeester, E., Beliën, J.: Operating room planning and scheduling: A literature review. Eur. J. Oper. Res. 201(3), 921–932 (2010)
Glouberman, S., Mintzberg, H.: Managing the care of health and the cure of disease-Part I: differentiation. Health Care Manag. Rev. 26(1), 56–69 (2001)
Guerriero, F., Guido, R.: Operational research in the management of the operating theatre: a survey. Health Care Manag. Sci. 14(1), 89–114 (2011)
Jones, D., Tamiz, M.: Practical Goal Programming, vol. 141. Springer, Heidelberg (2010)
May, J.H., Strum, D.P., Vargas, L.G.: Fitting the lognormal distribution to surgical procedure times. Decis. Sci. 31(1), 129–148 (2000)
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(3), 392–405 (2011)
Rachuba, S., Werners, B.: A robust approach for scheduling in hospitals using multiple objectives. J. Oper. Res. Soc. 65(4), 546–556 (2013)
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(2), 355–374 (2008)
Visintin, F., Cappanera, P., Banditori, C.: Evaluating the impact of flexible practices on the master surgical scheduling process: an empirical analysis. Flex. Serv. Manuf. J. 1–24 (2014)
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
Cappanera, P., Visintin, F., Banditori, C. (2016). A Goal-Programming Approach to the Master Surgical Scheduling Problem. 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_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-35132-2_15
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)