@article{Gronau2023,
  author    = {Gronau, Norbert},
  title     = {Großer Markt{\"u}berblick},
  series = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  volume    = {19},
  journal   = {ERP-Management : Auswahl, Einf{\"u}hrung und Betrieb von ERP-Systemen},
  number    = {3},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {1860-6725},
  pages     = {72 -- 90},
  year      = {2023},
  abstract  = {Der Beratermarkt ist {\"a}hnlich undurchsichtig wie der ERP-Markt selbst. Daher ver{\"o}ffentlichen wir in dieser Ausgabe einen umfassenden Markt{\"u}berblick zu ERP-Beratungen mit 24 Unternehmen vom Spezialisten zum Generalisten, aber immer fokussiert auf das Thema ERP. Sehr spannend ist z. B. die Bandbreite der Antworten, mit der ERP-Berater den Nutzen von ERP bei der ERP-Auswahl bewerten. Auch Auswahlportale stoßen nicht {\"u}berall auf große Gegenliebe. Manche Antworten mussten aus Platzgr{\"u}nden leider gek{\"u}rzt werden. Alle Abonnenten von ERP Management finden die vollst{\"a}ndigen Antworten zum Download im Webauftritt.},
  language  = {de}
}
@phdthesis{Grum2021,
  author    = {Grum, Marcus},
  title     = {Construction of a concept of neuronal modeling},
  year      = {2021},
  abstract  = {The business problem of having inefficient processes, imprecise process analyses, and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating, and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the modeling language designed and its mathematical formulation and is connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS), and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.},
  language  = {en}
}