3 papers
cs.SE2025
AI Asset Management for Manufacturing (AIM4M): Development of a Process Model for Operationalization
Lukas Rauh, Mel-Rick Süner, Daniel Schel +1
The benefits of adopting artificial intelligence (AI) in manufacturing are undeniable. However, operationalizing AI beyond the prototype, especially when involved with cyber-physic…
cs.LG2024
Root Cause Analysis Of Productivity Losses In Manufacturing Systems Utilizing Ensemble Machine Learning
Jonas Gram, Brandon K. Sai, Thomas Bauernhansl
In today's rapidly evolving landscape of automation and manufacturing systems, the efficient resolution of productivity losses is paramount. This study introduces a data-driven ens…
eess.SY2023
Information-based Preprocessing of PLC Data for Automatic Behavior Modeling
Brandon K. Sai, Jonas Gram, Thomas Bauernhansl
Cyber-physical systems (CPS) offer immense optimization potential for manufacturing processes through the availability of multivariate time series data of actors and sensors. Based…