A mixed integer programming approach to the patient admission scheduling problem
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Publication:1631502
DOI10.1016/j.ejor.2018.09.003zbMath1403.90497OpenAlexW2889566514MaRDI QIDQ1631502
Silvio Hamacher, Julia L. Fleck, Leonardo S. L. Bastos, Janaina F. Marchesi
Publication date: 6 December 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.09.003
Mixed integer programming (90C11) Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90)
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Cites Work
- Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays
- Local search and lower bounds for the patient admission scheduling problem
- Developing a platform for comparison of hospital admission systems: an illustration
- Modelling resource availability in general hospitals. Design and implementation of a decision support model
- Mixed integer programming based heuristics for the patient admission scheduling problem
- The dynamic space allocation problem: applying hybrid GRASP and tabu search metaheuristics
- A column generation approach for solving the patient admission scheduling problem
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