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Pulido Martínez, Raúl and Aguirre, Adrián M. and Ibáñez-Herrero, Natalia and Ortega Mier, Miguel Ángel and García-Sánchez, Álvaro and Méndez, Carlos A. (2014). Optimization methods for the operating room management under uncertainty: stochastic programming vs. decomposition approach. "Journal of Applied Operational Research", v. 6 (n. 3); pp. 145-157. ISSN 1735-8523.
Title: | Optimization methods for the operating room management under uncertainty: stochastic programming vs. decomposition approach |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Journal of Applied Operational Research |
Date: | 2014 |
ISSN: | 1735-8523 |
Volume: | 6 |
Subjects: | |
Freetext Keywords: | MILP; stochastic optimization; decomposition approach; scheduling; operating room |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Ingeniería de Organización, Administración de Empresas y Estadística |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The operating theatres are the engine of the hospitals; proper management of the operating rooms and its staff represents a great challenge for managers and its results impact directly in the budget of the hospital. This work presents a MILP model for the efficient schedule of multiple surgeries in Operating Rooms (ORs) during a working day. This model considers multiple surgeons and ORs and different types of surgeries. Stochastic strategies are also implemented for taking into account the uncertain in surgery durations (pre-incision, incision, post-incision times). In addition, a heuristic-based methods and a MILP decomposition approach is proposed for solving large-scale ORs scheduling problems in computational efficient way. All these computer-aided strategies has been implemented in AIMMS, as an advanced modeling and optimization software, developing a user friendly solution tool for the operating room management under uncertainty.
Item ID: | 37981 |
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DC Identifier: | http://oa.upm.es/37981/ |
OAI Identifier: | oai:oa.upm.es:37981 |
Official URL: | http://orlabanalytics.ca/jaor/archive/v6/n3/jaorv6n3p145.pdf |
Deposited by: | Memoria Investigacion |
Deposited on: | 09 Oct 2015 16:05 |
Last Modified: | 21 Mar 2017 16:02 |