Treffer: Editorial notes: Industrial Internet-of-Things (IIoT)-enabled digital servitisation.

The rapid implementation of the third wave of IT innovation (e.g. smart, connected products, Internet-of-Things (IoT)) and the fourth Industrial Revolution (e.g. advanced operation technologies (OTs), Cyber-Physical Systems) has enabled the prevailing industrial digital transformation (i.e. digitalisation), where OT and IT are integrated in an Industrial IoT environment (Sisinni et al. [16]). A multi-level digital twin aggregate modelling method was presented, including the status attributes, the static performance attributes and the fluctuation performance attributes, and a digital twin organisation system, namely, digital twin graph was designed. It leverages both the sensor-sensed production data and user/customer-generated data for value creation cost-effectively. Deep learning (DL)-based models were adopted to obtain semantic information related to product quality prediction using time series data collected from IoT devices. [Extracted from the article]

Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Volltext ist im Gastzugang nicht verfügbar. Login für vollen Zugriff.