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Preference learning: What defines an optimal shift schedule?

Weersel, S. van (2019) Preference learning: What defines an optimal shift schedule?

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Abstract:This research is performed at ORTEC at the department Workforce Developments. This research studies the problem of creating shift schedules. Shift scheduling is considered to be a complex process due to the many strictly regulated labor rules. Additionally, nowadays, scheduling preferences of employees are getting more and more important. Optimization algorithms can support organizations in creating shift schedules considering labor laws as hard constraints and scheduling preferences as soft constraints. However, in practice it is hard to translate the scheduling preferences into mathematical soft constraints. In this thesis, we define four types of soft constraints that represent the scheduling preferences of three customers of ORTEC. Furthermore, we apply data mining techniques such as association rule mining and cluster analysis to identify frequent patterns in historical manually-created shift schedules and define constraints for the optimization algorithm.
Item Type:Essay (Master)
Clients:
ORTEC, Zoetermeer, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:30 exact sciences in general, 31 mathematics, 50 technical science in general
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/80170
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