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A list-scheduling heuristic for the short-term planning of assessment centers

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  • Adrian Zimmermann

    (University of Bern)

  • Norbert Trautmann

    (University of Bern)

Abstract

Many companies operate assessment centers to help them select candidates for open job positions. During the assessment process, each candidate performs a set of tasks, and the candidates are evaluated by some so-called assessors. Additional constraints such as preparation and evaluation times, actors’ participation in tasks, no-go relationships, and prescribed time windows for lunch breaks contribute to the complexity of planning such assessment processes. We propose a multi-pass list-scheduling heuristic for this novel planning problem; to this end, we develop novel procedures for devising appropriate scheduling lists and for generating a feasible schedule. The computational results for a set of example problems that represent or are derived from real cases indicate that the heuristic generates optimal or near-optimal schedules within relatively short CPU times.

Suggested Citation

  • Adrian Zimmermann & Norbert Trautmann, 2018. "A list-scheduling heuristic for the short-term planning of assessment centers," Journal of Scheduling, Springer, vol. 21(2), pages 131-142, April.
    • Handle: RePEc:spr:jsched:v:21:y:2018:i:2:d:10.1007_s10951-017-0521-5
    DOI: 10.1007/s10951-017-0521-5
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    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.

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