A mixed integer programming approach to the patient admission scheduling problem

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

zbMATH Keywords

healthcaremixed integer programmingOR in health servicespatient admission schedulingbed allocation

Mathematics Subject Classification ID

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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