Designing master surgery schedules with downstream unit integration via stochastic programming
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Publication:2670515
DOI10.1016/j.ejor.2021.09.030zbMath1495.90090OpenAlexW3202864889MaRDI QIDQ2670515
Publication date: 11 March 2022
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2021.09.030
stochastic programmingBenders decompositionOR in health servicesmaster surgery schedulingdownstream units
Stochastic programming (90C15) Combinatorial optimization (90C27) Stochastic scheduling theory in operations research (90B36) Case-oriented studies in operations research (90B90)
Cites Work
- Master surgery scheduling with consideration of multiple downstream units
- Scheduling operating rooms: achievements, challenges and pitfalls
- Building cyclic master surgery schedules with leveled resulting bed occupancy
- Scheduling elective surgery under uncertainty and downstream capacity constraints
- Operating room planning and scheduling: a literature review
- Partitioning procedures for solving mixed-variables programming problems
- A sequential stochastic mixed integer programming model for tactical master surgery scheduling
- The Benders decomposition algorithm: a literature review
- Propagating logic-based Benders' decomposition approaches for distributed operating room scheduling
- Two-stage robust optimization approach to elective surgery and downstream capacity planning
- Stochastic master surgery scheduling
- Operating room planning and surgical case scheduling: a review of literature
- Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty
- Stability analysis of portfolio management with conditional value-at-risk
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