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A column generation approach for solving the patient admission scheduling problem

Troels Martin Range, Richard Martin Lusby and Jesper Larsen

European Journal of Operational Research, 2014, vol. 235, issue 1, 252-264

Abstract: This paper addresses the Patient Admission Scheduling (PAS) problem. The PAS problem entails assigning elective patients to beds, while satisfying a number of hard constraints and as many soft constraints as is possible, and arises at all planning levels for hospital management. There exist a few, different variants of this problem. In this paper we consider one such variant and propose an optimization-based heuristic building on branch-and-bound, column generation, and dynamic constraint aggregation to solve it. We achieve tighter lower bounds than previously reported in the literature and, in addition, we are able to produce new best known solutions for five out of twelve instances from a publicly available repository.

Keywords: OR in health services; Scheduling; Column generation; Dynamic constraint aggregation; Dual disaggregation; Branch and bound (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:235:y:2014:i:1:p:252-264

DOI: 10.1016/j.ejor.2013.10.050

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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