UID:
edocfu_9961087294202883
Format:
1 online resource (208 pages)
Content:
This work aims to develop a method that can reschedule the matrix production in the case of a disruption. For this purpose, different artificial intelligence methods are combined in a novel way. The developed method is validated on a theoretical and a real scheduling case.
Additional Edition:
ISBN 1000156002
Language:
German
DOI:
10.5445/KSP/1000156002