UdZ 01.21

SPECTRUM – APPLIED RESEARCH 44 / UdZ 2-2021 Literatur Dienes, C.; Pahnke, A.; Wolter, H.-J.: Investitionsverhalten von kleinen und mittleren Unternehmen. IfM-Materialien; Nr. 268. Institut für Mittelstandsforschung (IfM) Bonn, März 2018. https://www.ifm-bonn.org/ fileadmin/data/redaktion/publikationen/ifm_materialien/dokumente/IfM- Materialien-268_2018.pdf (Link zuletzt geprüft: 27.07.2021) Ruser,H.;PuenteLeón,F.:Informationsfusion–EineÜbersicht(Information Fusion – An Overview). In: tm – Technisches Messen 74 (2007) 3, S. 93 – 102. DOI: 10.1524/teme.2007.74.3.93. Schuh, G.; Reuter, C.; Brambring, F.; Prote, J.-P.; Hempel, T.; Gützlaff, A.: Organisation und IT. In: Handbuch Industrie 4.0. Geschäftsmodelle, Prozesse, Technik. Hrsg.: G. Reinhart. Hanser, München [u. a.] 2017, S. 146 – 154. Project Title: DaFuER Funding/Promoters: Bundesministerium für Wirtschaft und Energie (BMWi); Arbeitsgemeinschaft industrieller Forschungsvereinigungen „Otto von Guericke“ e. V. (AiF) Funding no.: 20579 N Project Partner: AUTO HEINEN GmbH; Berghof Systeme e.K.; DFA Demonstrationsfabrik Aachen GmbH; INDUTRAX GmbH; Maschinenfabrik Möllers GmbH; Mattern Consult Gesellschaft für Produktionsregelung und Logistik mbH; mk Plast GmbH & Co. KG; NETRONIC Software GmbH; SICK AG; Ubisense AG; Westaflexwerk GmbH Website: dafuer.fir.de The IGF project 20579N of the research association FIR e. V. at RWTH Aachen University was funded by the Federal Ministry for Economic Affairs and Energy (BMWi) via the AiF within the framework of the program for the promotion of joint industrial research (IGF) on the basis of a resolution of the German Bundestag. Jokim Janßen, M.Sc. Project Manager Production Management FIR e. V. at RWTH Aachen University Phone: +49 241 47705-413 Email: Jokim.Janssen@fir.rwth.aachen.de The project results make it possible for small and medium- sized enterprises to increase information transparency in the operational execution of orders. This was achieved by defining quality requirements in a well-founded and precise manner. In addition, it was possible to significantly increase data quality by applying the developed solutions in practice using selected examples. This simplified the decision-making processes in production management and production controlling, as well as for the collection of key figures. jn