Record link: 
http://hdl.handle.net/20.500.12708/142210
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Title: 
Solving an Industrial Oven Scheduling Problem with a Simulated Annealing Approach
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Citation: 
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
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Lackner, Marie-Louise 
Musliu, Nysret 
Winter, Felix 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published 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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Volume: 
volume III
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Date (published): 
2022
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Event name: 
PATAT 2022 - 13th International Conference on the Practice and Theory of Automated Timetabling 
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Event date: 
30-Aug-2022 - 2-Sep-2022
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Event place: 
Leuven, Belgium
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Number of Pages: 
6
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Peer reviewed: 
Yes
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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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Project title: 
CD Labor für Künstliche Intelligenz und Optimierung in Planung und Scheduling: keine Angabe (CDG Christian Doppler Forschungsgesellschaft) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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