IEEE - Institute of Electrical and Electronics Engineers, Inc. - Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning

2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)

Author(s): Shuhui Qu ; Jie Wang ; Juergen Jasperneite
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2018
Conference Location: Turin, Italy
Conference Date: 4 September 2018
Volume: 1
Page(s): 433 - 440
ISBN (Electronic): 978-1-5386-7108-5
ISBN (USB): 978-1-5386-7107-8
ISSN (Electronic): 1946-0759
DOI: 10.1109/ETFA.2018.8502508
Regular:

In the area of demand-driven manufacturing systems, one critical problem currently is how to dynamically and optimally schedule, i.e., allocate, actual jobs with different customer requirements in... View More

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