Cristin-resultat-ID: 1815867
Sist endret: 23. juli 2020, 13:07
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig artikkel
2020

Stochastic master surgery scheduling

Bidragsytere:
  • Thomas Bovim
  • Marielle Christiansen
  • Anders Nordby Gullhav
  • Troels Martin Range og
  • Lars Hellemo

Tidsskrift

European Journal of Operational Research
ISSN 0377-2217
e-ISSN 1872-6860
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2020
Publisert online: 2020
Trykket: 2020
Volum: 285
Hefte: 2
Sider: 695 - 711

Importkilder

Scopus-ID: 2-s2.0-85080080325

Beskrivelse Beskrivelse

Tittel

Stochastic master surgery scheduling

Sammendrag

The aim of the Master Surgery Scheduling Problem (MSSP) is to schedule the medical specialties to the different operating rooms available, such that surgeries may be performed efficiently. We consider a MSSP where elective and emergency patients can be treated in the same operating rooms. In addition to elective-dedicated operating room slots, flexible operating room slots are introduced to handle the fluctuating demand of emergency patients. To solve the MSSP, we propose a simulation-optimization approach consisting of a two-stage stochastic optimization model and a discrete-event simulation model. For the two-stage stochastic optimization model, uncertain arrivals of emergency patients are represented by discrete scenarios. The discrete-event simulation model is developed to address uncertainty related to the surgery duration and the length of stay at the hospital, and to test the Master Surgery Schedule (MSS) developed by the optimization model in a stochastic operational-level environment. In addition, the simulation model is used to generate scenarios for the optimization model. We present some general advice for surgery scheduling based on testing the optimization model in a numerical study. The simulation-optimization approach is applied to a case study from a hospital department that treats both elective and emergency patients. The optimized MSS outperforms the manually generated MSS, both in terms of emergency waiting time for surgery, and emergency interruptions to the flow of electives.

Bidragsytere

Thomas Bovim

  • Tilknyttet:
    Forfatter
    ved Institutt for industriell økonomi og teknologiledelse ved Norges teknisk-naturvitenskapelige universitet

Marielle Christiansen

  • Tilknyttet:
    Forfatter
    ved Institutt for industriell økonomi og teknologiledelse ved Norges teknisk-naturvitenskapelige universitet

Anders Nordby Gullhav

  • Tilknyttet:
    Forfatter
    ved Institutt for industriell økonomi og teknologiledelse ved Norges teknisk-naturvitenskapelige universitet

Troels Martin Range

  • Tilknyttet:
    Forfatter
    ved Syddansk Universitet
  • Tilknyttet:
    Forfatter
    ved Sydvestjysk Sygehus - Brørup, Esbjerg, Grindsted
  • Tilknyttet:
    Forfatter
    ved Institutt for industriell økonomi og teknologiledelse ved Norges teknisk-naturvitenskapelige universitet

Lars Hellemo

  • Tilknyttet:
    Forfatter
    ved Bærekraftig energiteknologi ved SINTEF AS
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