Michael Groth

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  • 2024 | Book Chapter
    ​ ​Groth, M., Schumann, M. & Nickerson, R. C. (2024). ​Characteristics of Production Scheduling Problems in the Era of Industry 4.0 – A Review of Machine Learning Algorithms for Production Scheduling. Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems ​(Vol. 2, pp. 119​-127​). ​doi: https://doi.org/10.1007/978-3-031-38165-2_15 
    ​Details  DOI 
  • 2023 | Conference Paper
    ​ ​Groth, M. & Schumann, M. (2023). ​Design of a Reference Architecture for Production Scheduling Applications based on a Problem Representation including Practical Constraints.​
    ​Details 
  • 2023 | Lecture
    ​ ​Groth, M. (2023). ​Design of a Reference Architecture for Production Scheduling Applications based on a Problem Representation including Practical Constraints​​. 
    ​Details 
  • 2023 | Lecture
    ​ ​Groth, M. (2023). ​​​Characteristics of Production Scheduling Problems in the Era of Industry 4.0 – A Review of Machine Learning Algorithms for Production Scheduling​​​. 
    ​Details 
  • 2023 | Conference Paper
    ​ ​Groth, M., Dippel, A. & Schumann, M. (2023). ​Enabling the Evaluation of Production Scheduling Algorithms in Complex Production Environments Using Individually Deployable Scheduling Services.​Lecture Notes in Computer Science , 13873. doi: https://doi.org/10.1007/978-3-031-32808-4_2 
    ​Details  DOI 
  • 2023 | Conference Paper
    ​ ​Finke, C., Groth, M., Schumann, M., Dewitz, P., Gehrke, J. & Marahrens, T. (2023). ​Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments.​Proceedings of the 56th Hawaii International Conference on System Sciences  (pp. 1448​
    ​Details 
  • 2023 | Lecture
    ​ ​Groth, M. (2023). ​Enabling the Evaluation of Production Scheduling Algorithms in Complex Production Environments Using Individually Deployable Scheduling Services​​. Retrieved from https://link.springer.com/chapter/10.1007/978-3-031-32808-4_2​
    ​Details 
  • 2023 | Conference Paper
    ​ ​Hobert, S., Groth, M., Nießner, T. & Wilhelmi, L. (2023). ​How Today’s AI Content Generators Outperform Average Novice Students in Information Systems Exams.​AMCIS 2023 Proceedings 
    ​Details 
  • 2021 | Conference Paper
    ​ ​Groth, M., Freier, P. & Schumann, M. (2021). ​Using Self-Play within Deep Q Learning to improve real-time Production Scheduling.​AMCIS 2021 Proceedings  (pp. 1​
    ​Details 
  • 2021 | Lecture
    ​ ​Groth, M. (2021). ​Using Self-Play within Deep Q Learning to improve real-time Production Scheduling​​. 
    ​Details 

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