Winter, F., & Musliu, N. (2022). A Hybrid Approach for Paint Shop Scheduling in the Automotive Supply Industry. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 317–320). http://hdl.handle.net/20.500.12708/142193
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:
978-0-9929984-4-8
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Volume:
volume II
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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:
4
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Peer reviewed:
Yes
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Keywords:
Hybrid; Paint Shop; Scheduling; Automotive Supply Industry
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Abstract:
n this work, we investigate innovative solution methods that can hybridize exact and metaheuristic approaches to quickly find cost efficient schedules for real life paint shop scheduling problems. To realize an enhanced minimization of the required color changes in paint shop schedules, we propose a novel problem formulation that can be used to minimize the color changes of a given feasible solution without violating any of the problem’s hard constraints.
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Project title:
CD Labor für Künstliche Intelligenz und Optimierung in Planung und Scheduling: keine Angabe (CDG Christian Doppler Forschungsgesellschaft)
