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Experimental Investigations

In: Flexible Shift Planning in the Service Industry

Author

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  • Jens O. Brunner

    (Technische Universität München)

Abstract

In the following chapter after presenting the data set in Sect. 5.1 that is used in the computations we present three computational studies for the flexible shift scheduling problem of physicians in a hospital. First, in Sect. 5.2 we show results obtained by the heuristic decomposition approach (see Sect. 4.2) where 2-week schedules are the focus of interest. Among other, parameter analysis give insights into the underlying problem structure. In the second study in Sect. 5.3 we evaluate the B&P approach presented in Sect. 4.3. The aim is to find 2-, 4-, and 6-week schedules using real data from a anesthesia department. Finally, in the last study in Sect. 5.4 we solve all instances from the parameter analysis (see Sect. 5.2.2) again since as one can see we were not able to improve on the lower bounds. We use MPVarB to solve the instances to optimality. All algorithms are coded in Java and linked with CPLEX 10.2. We use the default setting of 0.01% for the optimality gap. All computations were performed on a 2 GHz PC (Intel Core2 CPU T7200) with 2.046 GB RAM running under the Windows VISTA operating system.

Suggested Citation

  • Jens O. Brunner, 2010. "Experimental Investigations," Lecture Notes in Economics and Mathematical Systems, in: Flexible Shift Planning in the Service Industry, chapter 0, pages 73-97, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-10517-3_5
    DOI: 10.1007/978-3-642-10517-3_5
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