Towards Industry 5.0: AAS/MLOps-Driven Model Maintenance for Data-Centric Production

International Conference on Informatics in Control, Automation and Robotics (ICINCO), pp. 495–502

Abstract

Despite the advancements brought by digitalization across industries, only a few state-of-the-art data-driven methods successfully transition to production and remain viable.The sheer volume of physical assets in production lines, combined with constantly evolving requirements, makes model deployment and maintenance highly complex.This paper presents a production-ready architecture developed for data-driven digital assets at ABB Schaffhausen AG.The solution integrates MLOps best practices orchestrated via MLRun with the industry-standard metadata modeling system, Asset Administration Shell (AAS).We demonstrate how controlled artifact generation from MLRun facilitates experiment tracking and knowledge sharing while AAS ensures standardization and long-term maintenance.By combining MLOps and AAS, we effectively manage the ever-growing artifacts of data-driven solutions.Additionally, we explore how controlled artifact generation enables role-based MLOps by restricting access to relevant information based on industrial roles.This architecture supports a smooth transition to Industry 5.0.

Authors 5

1. Kiavash Fathi Aachen Chair of Information and Automation Systems for Process and Material Technology

   ZHAW Zurich University of Applied Sciences · RWTH Aachen University

   Affiliation as printed

   Chair of Information and Automation Systems for Process and Material Technology, RWTH Aachen University, 52064 Aachen, Germany

   Institute of Mechatronic Systems, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland

2. Marcin Sadurski

   ZHAW Zurich University of Applied Sciences

   Affiliation as printed

   Institute of Mechatronic Systems, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland

3. Stefan Waskow

   ABB (Switzerland)

   Affiliation as printed

   OEE Improvement team, ABB, 8200 Schaffhausen, Switzerland

4. Tobias Kleinert Aachen Chair of Information and Automation Systems for Process and Material Technology

   RWTH Aachen University

   Affiliation as printed

   Chair of Information and Automation Systems for Process and Material Technology, RWTH Aachen University, 52064 Aachen, Germany

5. Hans Wernher van de Venn

   ZHAW Zurich University of Applied Sciences

   Affiliation as printed

   Institute of Mechatronic Systems, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland