News - Thesis announce

Date : May 7, 2021, 2 p.m. - BARGETTO Roberto - Visio-conférence

Operating Theatre Planning and Scheduling under Material and Human Resource Constraints

Operating rooms are bottleneck resources for the flow of surgical patients and represent the main costs hub in acute care hospitals. Operating room planning and scheduling methods need to meet requirements of economic and operational efficiency as well as those of surgery safety. This thesis focuses on operating room scheduling under material and human resource constraints.
Four decision levels are considered. Policies including bed management for the patients to surgery dates assignment and emergencies admission are evaluated by means of discrete event simulation and by considering resource shortages and wait times minimization objectives. The weekly scheduling of surgery is performed in two stages. A branch-and-price-and-cut algorithm is applied to schedule surgeries for a set of operating rooms under surgeon and nurse capacity constraints, surgery durations are deterministic. The second stage problem performs the nurse to surgery assignment considering objectives of nurse constant training, overtime minimization, visited operating rooms and by considering uncertain surgery duration. Finally, the insertion of emergency surgeries considering waiting time targets into given schedules of elective surgery is optimized by means of stochastic optimization techniques of queues systems. Developed problem solution methods are tested by means of numerical experiments and using real-world data from hospitals.

Keywords: Operating Theatre, Operating Room Scheduling, Bed Management, Patient Admission, Emergency Scheduling, Human Resource Constraint, Nurse Scheduling, Discrete Event Simulation, Combinatorial Optimization, Stochastic Optimization.


Committee members:
Prof. Dr. Arianna Alfieri, Politecnico di Torino
Prof. Dr. Olga Battaïa, KEDGE Business School
Prof. Dr. Federico Della Croce, Politecnico di Torino
Prof. Dr. Erik Demeulemeester, KU Leuven
Prof. Dr. Xiaolan Xie, Ecole des Mines de Saint-Etienne, thesis supervisor
Dr. Thierry Garaix, Ecole des Mines de Saint-Etienne, co-supervisor.