Optimization methods for the operating room management under uncertainty: stochastic programming vs. decomposition approach

Pulido Martínez, Raúl; Aguirre, Adrián M.; Ibáñez-Herrero, Natalia; Ortega Mier, Miguel Ángel; García-Sánchez, Álvaro y 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.

Descripción

Título: Optimization methods for the operating room management under uncertainty: stochastic programming vs. decomposition approach
Autor/es:
  • Pulido Martínez, Raúl
  • Aguirre, Adrián M.
  • Ibáñez-Herrero, Natalia
  • Ortega Mier, Miguel Ángel
  • García-Sánchez, Álvaro
  • Méndez, Carlos A.
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Applied Operational Research
Fecha: 2014
Volumen: 6
Materias:
Palabras Clave Informales: MILP; stochastic optimization; decomposition approach; scheduling; operating room
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 37981
Identificador DC: http://oa.upm.es/37981/
Identificador OAI: oai:oa.upm.es:37981
URL Oficial: http://orlabanalytics.ca/jaor/archive/v6/n3/jaorv6n3p145.pdf
Depositado por: Memoria Investigacion
Depositado el: 09 Oct 2015 16:05
Ultima Modificación: 21 Mar 2017 16:02
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