Integrated proactive surgery scheduling in private healthcare facilities

•An Integrated Proactive Surgery Scheduling Problem is addressed in this paper.•We integrate, pre-operative, peri-operative and post-operative resources.•We assign patients to surgery process resources and define their sequencing.•A MIP model allocates slacks using an aggregated surrogate protection measure.•A Monte Carlo simulation proves the robustness and the stability of the schedules. In this paper, we address an Integrated Proactive Surgery Scheduling Problem that arises in a private healthcare facility. Given a set of elective surgeries to be performed by specific surgeons, the problem consists of assigning and sequencing the required resources while considering possible disruptions. The aim is to build stable and robust schedules that are less vulnerable to late starting or ending activities throughout the entire surgery process. For that aim, we propose a mixed integer linear program that properly allocates slacks between healthcare activities using an aggregated surrogate protection measure. A Monte Carlo simulation is conducted to evaluate the performance of the proposed model. The obtained results of 6 real-world-based instances and 49 generated instances have shown that the model effectively yields stable and robust schedules compared to deterministic schedules.