Planning personnel retraining: column generation heuristics

Oliver G. Czibula (), Hanyu Gu () and Yakov Zinder ()
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Oliver G. Czibula: University of Technology Sydney
Hanyu Gu: University of Technology Sydney
Yakov Zinder: University of Technology Sydney

Journal of Combinatorial Optimization, 2018, vol. 36, issue 3, No 12, 896-915

Abstract: 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.

Keywords: Personnel retraining; Column generation; Integer programming; Heuristic; Large neighbourhood search (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10878-018-0253-2

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