The digital twin: demonstrating the potential of real time data acquisition in production systems
THJ Uhlemann, C Schock, C Lehmann… - Procedia …, 2017 - Elsevier
The acquisition of data and the development of different options in production system and
factory planning requires up to 2/3rds of the total needed time resources. The digitization of …
factory planning requires up to 2/3rds of the total needed time resources. The digitization of …
Reinforcement learning for facilitating human-robot-interaction in manufacturing
For many contemporary manufacturing processes, autonomous robotic operators have
become ubiquitous. Despite this, the number of human operators within these processes …
become ubiquitous. Despite this, the number of human operators within these processes …
Robotic process automation with increasing productivity and improving product quality using artificial intelligence and machine learning
Robots are ideal replacements for trained staff in repeatable, general, and strategically
significant roles, but they are not always practicable as replacements. In spite of growth and …
significant roles, but they are not always practicable as replacements. In spite of growth and …
Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models
In modern manufacturing facilities, there are basically two essential phases for assuring high
production quality with low (or even zero) defects and waste in order to save costs for …
production quality with low (or even zero) defects and waste in order to save costs for …
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines
S De Blasi, M Bahrami, E Engels… - Journal of Intelligent …, 2024 - Springer
Intelligent manufacturing applications and agent-based implementations are scientifically
investigated due to the enormous potential of industrial process optimization. The most …
investigated due to the enormous potential of industrial process optimization. The most …
Advances in Artificial Intelligence Methods Applications in Industrial Control Systems: Towards Cognitive Self-Optimizing Manufacturing Systems
E Carpanzano, D Knüttel - Applied Sciences, 2022 - mdpi.com
Industrial control systems play a central role in today's manufacturing systems. Ongoing
trends towards more flexibility and sustainability, while maintaining and improving …
trends towards more flexibility and sustainability, while maintaining and improving …
A novel methodology for assessing and modeling manufacturing processes
J Reschke, S Gallego-García - Applied Sciences, 2021 - mdpi.com
Featured Application The assessment and modeling of manufacturing systems for their
management and control, considering all the related areas, flows, and factors involved in …
management and control, considering all the related areas, flows, and factors involved in …
Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality
An important predictive maintenance task in modern production systems is to predict the
quality of products in order to be able to intervene at an early stage to avoid faults and …
quality of products in order to be able to intervene at an early stage to avoid faults and …
Intelligent process-aware information systems to support agility in disaster relief operations: a survey of emerging approaches
MR Rasouli - International Journal of Production Research, 2019 - Taylor & Francis
Agility is a key characteristic in disaster relief operations. Intelligent process-aware
information systems (IPAISs) can support agility in disaster relief operations through …
information systems (IPAISs) can support agility in disaster relief operations through …
Design and Simulation of Manufacturing Organizations Based on a Novel Function-Based Concept
M Winkler, S Gallego-García, M García-García - Applied Sciences, 2022 - mdpi.com
Featured Application Modeling manufacturing organizations for optimizing their design,
management, control, and continuous improvement by considering all functions and their …
management, control, and continuous improvement by considering all functions and their …