@article{GregerMulyonoHermannetal.2018,
  author    = {Greger, Marius and Mulyono, Nur Budi and Hermann, Julian and Palm, Daniel},
  title     = {Digital twins in the smart factory},
  series = {Journal of engineering, management and operations},
  volume    = {1},
  journal   = {Journal of engineering, management and operations},
  publisher = {LIT},
  address   = {Wien},
  isbn      = {978-3-643-99768-5},
  pages     = {41 -- 54},
  year      = {2018},
  abstract  = {What does the factory of tomorrow have to offer for companies? This question and its aspects are the focus of many actual articles and publications. According to Gartner digital twins, one of 2017 strategic technology trends will play a big role for the future of manufacturing. At the moment digital twins are gaining more importance for the industrial application. If companies want to be competitive in the future they have to implement the digital twin in the factories of today. Therefore this paper provides a basic overview of the concept of the smart factory and its requirements. In addition, digital twins are identified as a necessary concept for the evolution of the factory of today.},
  language  = {en}
}
@inproceedings{GregerPalmLouwetal.2019,
  author    = {Greger, Marius and Palm, Daniel and Louw, Louis and Leipzig, Konrad von},
  title     = {Classification of optical technologies for the mapping of production environments},
  series = {Advances in production management systems, production management for the factory of the future : IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1-5, 2019, proceedings, part 1},
  booktitle = {Advances in production management systems, production management for the factory of the future : IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1-5, 2019, proceedings, part 1},
  editor    = {Ameri, Farhad},
  publisher = {Springer},
  address   = {Cham},
  doi       = {10.1007/978-3-030-30000-5_26},
  pages     = {197 -- 205},
  year      = {2019},
  abstract  = {Indoor localization systems are becoming more and more important with the digitalization of the industrial sector. Sensor data such as the current position of machines, transport vehicles, goods or tools represent an essential component of cyber physical production systems (CCPS). However, due to the high costs of these sensors, they are not widespread and are used mainly in special scenarios. However, especially optical indoor positioning systems (OIPS) based on cameras have certain advantages due to their technological specifications. In this paper, the application scenarios and requirements as well as their characteristics are presented and a classification approach of OIPS is introduced.},
  language  = {en}
}