Abstract
Surgery department with its operating rooms represents the financial backbone of modern hospitals accounting the main part of a hospital cost and revenue. Therefore, maximizing its efficiency is of vital importance since it can have important implications on cost saving and patient satisfaction. In this context, Operations Research methodologies can play a relevant role supporting hospital executives in operating room management and surgery scheduling issues. In particular, great relevance has been given in literature to the Surgery Scheduling Problem (SPP). In its general form, it consists in determining a day, an operating room and a starting time of a set of surgeries. In this work, we address the SPP faced by a local hospital of Naples. The aim of the hospital is to determine a surgery schedule capable of handling unforeseeable events while maximizing the number of performed surgeries, according to some medical guidelines. This problem has been modelled by an original integer linear programming formulation that has been tested and validated on several instances derived from real data provided by the hospital. Finally, the proposed formulation can be used to simulate different surgery operating scenarios. The results of this simulation can be used to provide useful managerial insights for an efficient schedule of the hospital surgeries.
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Boccia, M., Mancuso, A., Masone, A., Messina, F., Sforza, A., Sterle, C. (2023). Optimization for Surgery Department Management: An Application to a Hospital in Naples. In: Cappanera, P., Lapucci, M., Schoen, F., Sciandrone, M., Tardella, F., Visintin, F. (eds) Optimization and Decision Science: Operations Research, Inclusion and Equity. ODS 2022. AIRO Springer Series, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-031-28863-0_24
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DOI: https://doi.org/10.1007/978-3-031-28863-0_24
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