Elective patient admission and surgery planning with bed assignment is a very challenging problem, recently introduced in the literature. Its main aim is to find a good matching between demand and resource, namely bed, equipment, and operating rooms. It is an extension of the patient bed assignment problems, which is NP-hard. Our contribution to the existing literature is a matheuristic solution approach, which can improve the ability of hospitals to provide the best possible care to patients. Computational experiments on bench- mark instances show that the proposed approach provides high-quality schedules in reasonable times and the results reported in the literature are improved.
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Titolo: | Patient admission, surgery planning and bed assignments problems: a solution approach |
Autori: | |
Data di pubblicazione: | 2018 |
Handle: | http://hdl.handle.net/20.500.11770/301260 |
ISBN: | 978-84-09-02938-9 |
Appare nelle tipologie: | 4.2 Abstract in Atti di convegno |