TY - GEN
T1 - Robust Optimization for Operating Room Scheduling with Uncertain Surgical Durations
T2 - 11th and 12th International Conferences on Operations Research and Enterprise Systems, ICORES 2022 and 2023
AU - Ito, Mari
AU - Namba, Yoshito
AU - Takashima, Ryuta
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - We introduce a robust optimization model for scheduling operating rooms with uncertain surgical durations. The model addresses multiple operating rooms and surgical procedures. In the numerical analysis, we verify the influence of the risk-averse tendency on the schedule. The schedules created by the robust optimization are compared with those of stochastic programming. The results suggest that robust optimization avoids long delays, and obtains a solution faster than stochastic programming. In specific control conservative, robust optimization exhibits the same performance as stochastic programming. The robust optimization model is more effective for operating room managers who desire to obtain an accurate solution quickly.
AB - We introduce a robust optimization model for scheduling operating rooms with uncertain surgical durations. The model addresses multiple operating rooms and surgical procedures. In the numerical analysis, we verify the influence of the risk-averse tendency on the schedule. The schedules created by the robust optimization are compared with those of stochastic programming. The results suggest that robust optimization avoids long delays, and obtains a solution faster than stochastic programming. In specific control conservative, robust optimization exhibits the same performance as stochastic programming. The robust optimization model is more effective for operating room managers who desire to obtain an accurate solution quickly.
KW - Operating room scheduling
KW - Operations research in health service
KW - Robust optimization
KW - Stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=85180545807&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49662-2_9
DO - 10.1007/978-3-031-49662-2_9
M3 - Conference contribution
AN - SCOPUS:85180545807
SN - 9783031496615
T3 - Communications in Computer and Information Science
SP - 168
EP - 177
BT - Operations Research and Enterprise Systems - 11th International Conference, ICORES 2022, and 12th International Conference, ICORES 2023, Revised Selected Papers
A2 - Liberatore, Federico
A2 - Wesolkowski, Slawo
A2 - Demange, Marc
A2 - Parlier, Greg H.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 February 2023 through 21 February 2023
ER -