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A hospital staff scheduling problem under stochastic operation times
by Subhash C. Sarin; Hanif D. Sherali; Seon Ki Kim
International Journal of Planning and Scheduling (IJPS), Vol. 2, No. 3, 2016

 

Abstract: This paper is concerned with a hospital staff scheduling problem wherein surgical operation times are stochastic. We formulate a complete recourse, scenario-based model for this problem, and develop a branch-and-cut (B&C) algorithm that is further hybridised with the Monte Carlo method (MCM). The proposed hybrid MCM-based approach is demonstrated to substantially reduce the required computational effort over a purely branch-and-cut methodology while producing near-optimal solutions having relatively small optimality gaps.

Online publication date: Fri, 11-Nov-2016

 

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