This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-07-03 Creation time: 12-22-37 --- Number of references 5 article 2022_brauner_iop A Computer Science Perspective on Digital Transformation in Production ACM Transactions on Internet of Things 2022 5 1 3 2 The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production, two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI. Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure. Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality. Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-brauner-digital-transformation.pdf ACM 2691-1914 10.1145/3502265 1 PhilippBrauner ManuelaDalibor MatthiasJarke IkeKunze IstvánKoren GerhardLakemeyer MartinLiebenberg JudithMichael JanPennekamp ChristophQuix BernhardRumpe Wilvan der Aalst KlausWehrle AndreasWortmann MartinaZiefle article 2020-wehrle-digitalshadows Mit "Digitalen Schatten" Daten verdichten und darstellen : Der Exzellenzcluster "Internet der Produktion" forscht über die Produktionstechnik hinaus Der Profilbereich "Information & Communication Technology" 2020 0179-079X 10.18154/RWTH-2021-02496 MatthiasJarke Wilvan der Aalst ChristianBrecher MatthiasBrockmann IstvánKoren GerhardLakemeyer BernhardRumpe GüntherSchuh KlausWehrle MartinaZiefle article 2016-fgcs-henze-iotprivacy A Comprehensive Approach to Privacy in the Cloud-based Internet of Things Future Generation Computer Systems 2016 3 56 701-718 ipacs https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-henze-fgcs-iotprivacy.pdf Online Elsevier en 0167-739X 10.1016/j.future.2015.09.016 1 MartinHenze LarsHermerschmidt DanielKerpen RogerHäußling BernhardRumpe KlausWehrle incollection 2013-wtc-eggert-sensorcloud SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators 2014 12 14 203-218 sensorcloud fileadmin/papers/2013/2013-wtc-eggert-sensorcloud.pdf Online Krcmar, Helmut and Reussner, Ralf and Rumpe, Bernhard Springer Trusted Cloud Computing en 978-3-319-12717-0 10.1007/978-3-319-12718-7_13 1 MichaelEggert RogerHäußling MartinHenze LarsHermerschmidt RenéHummen DanielKerpen AntonioNavarro Pérez BernhardRumpe DirkThißen KlausWehrle inproceedings 2014-ficloud-henze-upecsi User-driven Privacy Enforcement for Cloud-based Services in the Internet of Things 2014 8 27 191-196 ipacs /fileadmin/papers/2014/2014-ficloud-henze-upecsi.pdf Online IEEE 2014 International Conference on Future Internet of Things and Cloud (FiCloud 2014), Barcelona, Spain Barcelona, Spain 2014 International Conference on Future Internet of Things and Cloud (FiCloud 2014) en 978-1-4799-4357-9 10.1109/FiCloud.2014.38 1 MartinHenze LarsHermerschmidt DanielKerpen RogerHäußling BernhardRumpe KlausWehrle