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Robust Allocation of Operating Rooms with Lognormal case Durations (2016)

Sagnol, Guillaume ; Borndörfer, Ralf ; Grima, Mickaël ; [et al.]

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Publication Date: 2020-08-05

Description: The problem of allocating operating rooms (OR) to surgical cases is a challenging task, involving both combinatorial aspects and uncertainty handling. In this article, we formulate this problem as a job shop scheduling problem, in which the job durations follow a lognormal distribution. We propose to use a cutting-plane approach to solve a robust version of this optimization problem. To this end, we develop an algorithm based on fixed-point iterations to solve the subproblems that identify worst-case scenarios and generate cut inequalities. The procedure is illustrated with numerical experiments based on real data from a major hospital in Berlin.

Language: English

Type: reportzib , doc-type:preprint

Format: application/pdf

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