Akademik Veri Yönetim Sistemi
Yükseköğretim Kurumları Destekli Proje, BAP Diğer, 2017 - 2018
"Operating rooms (ORs) are responsible for a large portion of total hospital revenues (HFMA 2005) and costs.Therefore, careful management of ORs may result in substantial revenue increases and cost reductions. To create a complete surgery schedule, surgeries first must be assigned to days and ORs. Then, surgeries within the ORs must be sequenced. Next, the patient appointment times are set. Finally, small changes may be performed to fine-tune schedules as the day of surgeries come close. All decisions throughout the surgery scheduling process have the potential to influence the OR idle time and patient waiting time. Designing surgery schedules is a complicated task due to the uncertainty in duration of surgery. Uncertainty in turnover times make the process further challenging. Turnover time refers to the time spent by the turnover team to make the room ready for the next patient. The turnover team includes anesthesia technician and housekeeper. The number and availability of turnover teams may significantly affect the performance of a surgery schedule. The delay in turnover start time leads to increased OR idle time, and hence under-utilization of ORs. This in turn may result inincreased OR overtime. Furthermore, the turnover delay negatively influences surgeon and anesthesiologist satisfaction (Dexter et al. 2009, Vitez and Macario 1998, Eappen et al. 2007). Therefore, the impact of turnover should be carefully incorporated into the surgery scheduling decision. In this project, we propose to study the problem of setting patient appointment times for multiple ORs by considering the availability of limited number of turnover teams. Decisions in our model include scheduling of surgeries without changing the surgery sequences in multiple ORs, assignment of turnover teams to surgeries, and setting turnover start times. We formulated our surgery scheduling problem as a two-stage stochastic mixed integer program. We consider two competing criteria in the objective function: expected cost of patient waiting time and OR idle time. During the project period, we are planning to implement a heuristic that exploits the underlying problem structure to find good approximation for the optimal surgery schedule. We also plan to investigate the impact of the number of turnover teams into the performance of surgery schedules using our solution procedure."