Rule mining for scheduling cross training with a heterogeneous workforce
Sungsu Kim and David A. Nembhard
| Year of publication: |
2013
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|---|---|
| Authors: | Kim, Sungsu ; Nembhard, David A. |
| Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 51.2013, 8 (15.4.), p. 2281-2300
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| Subject: | association rules | cross-training | data mining | forgetting | learning | productivity | worker heterogeneity | workforce resources | workforce scheduling | Data Mining | Data mining | Personaleinsatzplanung | Crew scheduling | Scheduling-Verfahren | Scheduling problem | Arbeitskräfte | Workforce | Bergbau | Mining | Betriebliches Bildungsmanagement | Employer-provided training | Arbeitsproduktivität | Labour productivity | Personalentwicklung | Human resource development | Personalmanagement | Human Resource Management | Lernprozess | Learning process | Theorie | Theory | Berufsbildung | Vocational training |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10009731488