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Planning personnel retraining: column generation heuristics

Author

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  • Oliver G. Czibula

    (University of Technology Sydney)

  • Hanyu Gu

    (University of Technology Sydney)

  • Yakov Zinder

    (University of Technology Sydney)

Abstract

Retraining of staff is a compulsory managerial function in many organisations and often requires planning for a large number of employees. The large scale of this problem and various restrictions on the resultant assignment to classes make this planning challenging. The paper presents a complexity analysis of this problem together with linear and nonlinear mathematical programming formulations. Three different column generation based optimisation procedures and a large neighbourhood search procedure, incorporating column generation, are compared by means of computational experiments. The experiments used data typical to large electricity distributors.

Suggested Citation

  • Oliver G. Czibula & Hanyu Gu & Yakov Zinder, 2018. "Planning personnel retraining: column generation heuristics," Journal of Combinatorial Optimization, Springer, vol. 36(3), pages 896-915, October.
    • Handle: RePEc:spr:jcomop:v:36:y:2018:i:3:d:10.1007_s10878-018-0253-2
    DOI: 10.1007/s10878-018-0253-2
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    References listed on IDEAS

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