Efficient list-generation techniques for scheduling assessment centers

Zimmermann, Adrian (September 2015). Efficient list-generation techniques for scheduling assessment centers (Unpublished). In: International Conference on Operations Research. Vienna. 01.-04.09.2015.

Human resources managers often conduct assessment centers to evaluate candidates for a job position. During an assessment center, the candidates perform a series of tasks. The tasks require one or two assessors (e.g., managers or psychologists) that observe and evaluate the candidates. If an exercise is designed as a role-play, an actor is required who plays, e.g., an unhappy customer with whom the candidate has to deal with. Besides performing the tasks, each candidate has a lunch break within a prescribed time window. Each candidate should be observed by approximately half the number of the assessors; however, an assessor may not observe a candidate if they personally know each other. The planning problem consists of determining (1) resource-feasible start times of all tasks and lunch breaks and (2) a feasible assignment of assessors to candidates, such that the assessment center duration is minimized. We present a list-scheduling heuristic that generates feasible schedules for such assessment centers. We propose several novel techniques to generate the respective task lists. Our computational results indicate that our approach is capable of devising optimal or near-optimal schedules for real-world instances within short CPU time.

Item Type:

Conference or Workshop Item (Speech)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Financial Management > Professorship for Quantitative Methods in Business Administration

UniBE Contributor:

Zimmermann, Adrian

Subjects:

600 Technology > 650 Management & public relations

Language:

English

Submitter:

Larissa Notz

Date Deposited:

23 Feb 2016 15:43

Last Modified:

31 Jul 2017 08:19

URI:

https://boris.unibe.ch/id/eprint/75764

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