@misc{BenderGrumGronauetal.2019,
  author    = {Bender, Benedict and Grum, Marcus and Gronau, Norbert and Alfa, Attahiru and Maharaj, B. T.},
  title     = {Design of a worldwide simulation system for distributed cyber-physical production networks},
  series = {2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  journal   = {2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-7281-3401-7},
  issn      = {2334-315X},
  doi       = {10.1109/ICE.2019.8792609},
  pages     = {7},
  year      = {2019},
  abstract  = {Modern production infrastructures of globally operating companies usually consist of multiple distributed production sites. While the organization of individual sites consisting of Industry 4.0 components itself is demanding, new questions regarding the organization and allocation of resources emerge considering the total production network. In an attempt to face the challenge of efficient distribution and processing both within and across sites, we aim to provide a hybrid simulation approach as a first step towards optimization. Using hybrid simulation allows us to include real and simulated concepts and thereby benchmark different approaches with reasonable effort. A simulation concept is conceptualized and demonstrated qualitatively using a global multi-site example.},
  language  = {en}
}
@misc{GieseHenklerHirsch2017,
  author    = {Giese, Holger and Henkler, Stefan and Hirsch, Martin},
  title     = {A multi-paradigm approach supporting the modular execution of reconfigurable hybrid systems},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-402896},
  pages     = {34},
  year      = {2017},
  abstract  = {Advanced mechatronic systems have to integrate existing technologies from mechanical, electrical and software engineering. They must be able to adapt their structure and behavior at runtime by reconfiguration to react flexibly to changes in the environment. Therefore, a tight integration of structural and behavioral models of the different domains is required. This integration results in complex reconfigurable hybrid systems, the execution logic of which cannot be addressed directly with existing standard modeling, simulation, and code-generation techniques. We present in this paper how our component-based approach for reconfigurable mechatronic systems, M ECHATRONIC UML, efficiently handles the complex interplay of discrete behavior and continuous behavior in a modular manner. In addition, its extension to even more flexible reconfiguration cases is presented.},
  language  = {en}
}