Situation-aware Re-configuration of Production Processes
Sebastian Scholze, Rebecca Siafaka, Kevin Nagorny, Albert Zilverberg,, Karl Krone

TL;DR
This paper presents a cloud-based platform that enhances manufacturing flexibility by enabling situation-aware re-configuration of production processes through event prediction and optimization, addressing the complexities of modern connected product networks and cyber-physical systems.
Contribution
It introduces a novel cloud-based platform for real-time optimization and re-configuration of manufacturing processes based on situational awareness and predictive analytics.
Findings
Improved process flexibility and responsiveness.
Enhanced event prediction accuracy.
Optimized resource utilization.
Abstract
Manufacturing of products, nowadays, due to the advances in Information Technologies (IT) that turn products into smart devices, and the evolution in device connectivity, becomes increasingly complex. Connected product networks (CPN) and cyber-physical systems (CPS) are bringing new challenges to manufacturing companies. These challenges, among others things, lead to increased demands for optimisation and personalisation of production processes. This move, which as a result drives the market of machines and products, poses new challenges to the manufacturing domain that needs flexible solutions to replace the rigid traditional methodologies and tools. The current work suggests a cloud-based platform for optimisation of machines, products and processes, allowing for situational awareness on the users' site, involving technologies for event prediction and optimisation.
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Taxonomy
TopicsDigital Transformation in Industry · Context-Aware Activity Recognition Systems · IoT and Edge/Fog Computing
