Master surgery scheduling with consideration of multiple downstream units
| Autor: | Rainer Kolisch, Nikky Kortbeek, Erwin W. Hans, Peter T. Vanberkel, Andreas Fügener |
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| Přispěvatelé: | Faculty of Behavioural, Management and Social Sciences, Stochastic Operations Research, Center for Healthcare Operations Improvement and Research |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Information Systems and Management
General Computer Science Operations research Heuristic (computer science) Computer science Master surgery scheduling Management Science and Operations Research Surgery scheduling Industrial and Manufacturing Engineering law.invention Resource Allocation Operating theater Downstream (manufacturing) law Operations management Block (data storage) Scope (project management) ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS EWI-24707 Intensive care unit METIS-304620 digestive system diseases IR-91524 Modeling and Simulation OR in Health Services Ward and ICU occupancy Resource allocation |
| Zdroj: | European journal of operational research, 239(1), 227-236. Elsevier |
| ISSN: | 0377-2217 |
| Popis: | We consider a master surgery scheduling (MSS) problem in which block operating room (OR) time is assigned to different surgical specialties. While many MSS approaches in the literature consider only the impact of the MSS on operating theater and operating staff, we enlarge the scope to downstream resources, such as the intensive care unit (ICU) and the general wards required by the patients once they leave the OR. We first propose a stochastic analytical approach, which calculates for a given MSS the exact demand distribution for the downstream resources. We then discuss measures to define downstream costs resulting from the MSS and propose exact and heuristic algorithms to minimize these costs. |
| Databáze: | OpenAIRE |
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