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001     844530
005     20250513105340.0
024 7 _ |2 DOI
|a 10.1007/978-3-030-85914-5_43
024 7 _ |2 ISBN
|a 978-3-030-85913-8
024 7 _ |2 ISBN
|a 978-3-030-85914-5
024 7 _ |2 ISBN
|a 978-3-030-85915-2
024 7 _ |2 ISBN
|a 978-3-030-85916-9
024 7 _ |2 ISSN
|a 1868-422X
024 7 _ |2 ISSN
|a 1868-4238
024 7 _ |2 SCOPUS
|a SCOPUS:2-s2.0-85115342515
024 7 _ |2 WOS
|a WOS:000775555100043
037 _ _ |a RWTH-2022-03991
041 _ _ |a English
100 1 _ |0 P:(DE-82)IDM00801
|a Schuh, Günther
|b 0
|u rwth
111 2 _ |a International Conference on Advances in Production Management Systems
|c online
|d 2021-09-05 - 2021-09-09
|g APMS
245 _ _ |a Identification of Superior Improvement Trajectories for Production Lines via Simulation-Based Optimization with Reinforcement Learning
|h online, print
260 _ _ |a Cham
|b Springer International Publishing
|c 2021
295 1 0 |a Advances in production management systems : artificial intelligence for sustainable and resilient production systems : IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, september 5–9, 2021, proceedings, part V / Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero (eds.)
300 _ _ |a 405-413
336 7 _ |0 33
|2 EndNote
|a Conference Paper
336 7 _ |0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
|a Contribution to a book
|m contb
336 7 _ |0 PUB:(DE-HGF)8
|2 PUB:(DE-HGF)
|a Contribution to a conference proceedings
|b contrib
|m contrib
336 7 _ |2 BibTeX
|a INPROCEEDINGS
336 7 _ |2 DRIVER
|a conferenceObject
336 7 _ |2 DataCite
|a Output Types/Conference Paper
336 7 _ |2 ORCID
|a CONFERENCE_PAPER
490 0 _ |a IFIP advances in information and communication technology
588 _ _ |a Dataset connected to DataCite
591 _ _ |a Germany
591 _ _ |a USA
700 1 _ |0 P:(DE-82)IDM01127
|a Gützlaff, Andreas
|b 1
|u rwth
700 1 _ |a Schmidhuber, Matthias
|b 2
|u rwth
700 1 _ |0 P:(DE-82)IDM03702
|a Maetschke, Jan Niklas
|b 3
|e Corresponding author
|u rwth
700 1 _ |a Barkhausen, Max
|b 4
700 1 _ |a Sivanesan, Narendiran
|b 5
909 C O |o oai:publications.rwth-aachen.de:844530
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|6 P:(DE-82)IDM00801
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910 1 _ |0 I:(DE-588b)36225-6
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914 1 _ |y 2021
915 1 _ |0 StatID:(DE-HGF)0031
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920 1 _ |0 I:(DE-82)417200_20140620
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920 1 _ |0 I:(DE-82)417010_20140620
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980 _ _ |a I:(DE-82)417010_20140620
980 _ _ |a I:(DE-82)417200_20140620
980 _ _ |a I:(DE-82)417210_20140620
980 _ _ |a UNRESTRICTED
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