Browsing by Subject "Deep Reinforcement Learning"

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Deep Reinforcement Learning In Production Planning And Control: A Systematic Literature Review

Panzer, Marcel; Bender, Benedict; Gronau, Norbert (Hannover : publish-Ing., 2021)

Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions ...
Explainable Deep Reinforcement Learning for Production Control

Theumer, Philipp; Edenhofner, Florian; Zimmermann, Roland; Zipfel, Alexander (Hannover : publish-Ing., 2022)

Due to the growing number of variants and smaller batch sizes manufacturing companies have to cope with increasing material flow complexity. Thus, increasing the difficulty for production planning and control (PPC) to ...
On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning

Waubert de Puiseau, Constantin; Zey, Lennart; Demir, Merve; Tercan, Hasan; Meisen, Tobias (Hannover : publish-Ing., 2023)

Job shop scheduling problems (JSSPs) have been the subject of intense studies for decades because they are often at the core of significant industrial planning challenges and have a high optimization potential. As a result, ...

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