Prof. Dr. Matthias Schumann

 
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unigoe
 

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  • 2024 Book Chapter
    ​ ​Characteristics of Production Scheduling Problems in the Era of Industry 4.0 – A Review of Machine Learning Algorithms for Production Scheduling​
    Groth, M. ; Schumann, M.  & Nickerson, R. C. ​ (2024)
    In: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems pp. 119​-127. (Vol. 2).  DOI: https://doi.org/10.1007/978-3-031-38165-2_15 
    Details  DOI 
  • 2023 Conference Paper
    ​ ​Design of a Reference Architecture for Production Scheduling Applications based on a Problem Representation including Practical Constraints​
    Groth, M.   & Schumann, M. ​ (2023)
    ​Australasian Conference on Information Systems​, Wellington.
    Details 
  • 2023 Conference Paper
    ​ ​Enabling the Evaluation of Production Scheduling Algorithms in Complex Production Environments Using Individually Deployable Scheduling Services​
    Groth, M. ; Dippel, A. & Schumann, M. ​ (2023)
    ​Lecture Notes in Computer Science pp. 18​-32. (Vol. 13873). ​18th International Conference on Design Science Research in Information Systems and Technology​, Pretoria, South Africa. DOI: https://doi.org/10.1007/978-3-031-32808-4_2 
    Details  DOI 

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