Modeling and solving a real-life multi-skill shift design problem
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In this work, we consider the shift design problem and we define a novel, complex formulation arising from practical cases. In addition, we propose a new search method based on a fast Simulated Annealing, that, differently from previous approaches, solves the overall problem as a single-stage procedure. The core of the method is a composite neighborhood that includes at the same time changes in the staffing of shifts, the shape of shifts, and the position of breaks. Finally, we present a statistically-principled experimental analysis on a set of instances obtained from real cases. Both instances and results are available on the web for future comparisons.
KeywordsShift design Workforce scheduling Simulated annealing Local search
Nysret Musliu has been supported for this work by the Austrian Science Fund (FWF): P24814-N23.
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