A Markov decision model with dead ends for operating room planning considering dynamic patient priority
DOI10.1051/ro/2018110zbMath1430.90555OpenAlexW2903519702WikidataQ128862090 ScholiaQ128862090MaRDI QIDQ5214333
Mahjoub Dridi, Jian Zhang, Abdellah El Moudni
Publication date: 7 February 2020
Published in: RAIRO - Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/ro/2018110
Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35) Stochastic scheduling theory in operations research (90B36) Dynamic programming (90C39) Markov and semi-Markov decision processes (90C40)
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Cites Work
- A simulation based approximate dynamic programming approach to multi-class, multi-resource surgical scheduling
- A two level metaheuristic for the operating room scheduling and assignment problem
- Scheduling operating rooms: achievements, challenges and pitfalls
- Modelling and solving generalised operational surgery scheduling problems
- Stochastic programming analysis and solutions to schedule overcrowded operating rooms in China
- Scheduling elective surgery under uncertainty and downstream capacity constraints
- Stochastic programming for nurse assignment
- Operating room planning and scheduling: a literature review
- An integrated approach for scheduling health care activities in a hospital
- Two-stage robust optimization approach to elective surgery and downstream capacity planning
- Different stakeholders' perspectives for a surgical case assignment problem: deterministic and robust approaches
- Optimal distribution of operating hours over operating rooms using probabilities
- Discovering hidden structure in factored MDPs
- The implementor/adversary algorithm for the cyclic and robust scheduling problem in health-care
- Operating room planning and surgical case scheduling: a review of literature
- A stochastic model for operating room planning with elective and emergency demand for surgery
- An elective surgery scheduling problem considering patient priority
- A Constraint-Programming-Based Branch-and-Price-and-Cut Approach for Operating Room Planning and Scheduling
- Planning with Markov Decision Processes: An AI Perspective
- Dynamic Multipriority Patient Scheduling for a Diagnostic Resource
- Managing a patient waiting list with time-dependent priority and adverse events
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