Lackner, M.-L., Musliu, N., & Winter, F. (2022). Solving an Industrial Oven Scheduling Problem with a Simulated Annealing Approach. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 115–120). http://hdl.handle.net/20.500.12708/142210
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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Erschienen in:
Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling
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ISBN:
978-0-9929984-5-5
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Band:
volume III
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Datum (veröffentlicht):
2022
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Veranstaltungsname:
PATAT 2022 - 13th International Conference on the Practice and Theory of Automated Timetabling
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Veranstaltungszeitraum:
30-Aug-2022 - 2-Sep-2022
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Veranstaltungsort:
Leuven, Belgien
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Umfang:
6
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Peer Reviewed:
Ja
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Keywords:
Simulated Annealing Approach; Solving; Scheduling
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Abstract:
n this paper, we are concerned with the hardening process of electronic components in specialised heat treatment ovens, a highly energy-intensive task. The energy consumption of this process can be reduced by grouping compatible jobs into batches for simultaneous processing.
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Projekttitel:
CD Labor für Künstliche Intelligenz und Optimierung in Planung und Scheduling: keine Angabe (CDG Christian Doppler Forschungsgesellschaft)
