Two-stage robust optimisation for surgery scheduling considering surgeon collaboration

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Scopus Citations
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Author(s)

  • Jin Wang
  • Hainan Guo
  • Kwok-Leung Tsui

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)6437-6450
Journal / PublicationInternational Journal of Production Research
Volume59
Issue number21
Online published14 Sept 2020
Publication statusPublished - 2021

Abstract

Operating rooms (ORs) account for a significant proportion of the costs of maintaining a hospital. Surgery scheduling is optimised to reduce the costs in ORs. However, an important issue that directly affects surgery scheduling is often neglected, i.e. surgeon collaboration. In reality, a surgery requires two surgeons: the main surgeon and an assistant. The surgeon of one surgery might be assigned as the assistant of another surgery. Thus, this paper proposes a two-stage robust model that considers such collaborations. In Stage 1, it determines surgery allocations and surgeon assignments, while in Stage 2, the start time of each surgery is decided. The properties of the solutions are detected, based on which we develop a simple algorithm to solve the two-stage model. In addition, the column-and-constraint generation algorithm is applied to solve the model with a large number of surgeries. The numerical experimentation shows the good performances of the proposed models and algorithms.

Research Area(s)

  • applications in healthcare systems, mixed integer linear programming, multi-stage model, Surgeon collaboration, surgery scheduling

Citation Format(s)

Two-stage robust optimisation for surgery scheduling considering surgeon collaboration. / Wang, Jin; Guo, Hainan; Tsui, Kwok-Leung.
In: International Journal of Production Research, Vol. 59, No. 21, 2021, p. 6437-6450.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review