Two-stage robust optimization approach to elective surgery and downstream capacity planning

Saba Neyshabouri and Bjorn P. Berg

European Journal of Operational Research, 2017, vol. 260, issue 1, 21-40

Abstract: Scheduling elective surgeries is a complicated task due to the coupled effects of multiple sources of uncertainty and the impact of the proposed schedule on the downstream units. In this paper, we propose a two-stage robust optimization model to address the existing uncertainty in surgery duration and length-of-stay in the surgical intensive care unit. The framework allows for the decision-maker to adjust the level of risk with which she/he is comfortable. We propose the adapted column-and-constraint generation method to obtain exact solutions for the proposed formulation. The performance and the quality of our proposed solution methodology are tested through computational experiments and simulation modeling.

Keywords: OR in health services; Robust optimization; Surgery scheduling; Decision-dependent uncertainty; Downstream resource constraint (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (31)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:260:y:2017:i:1:p:21-40

DOI: 10.1016/j.ejor.2016.11.043

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