An overview of current technologies and emerging trends in factory automation

M Dotoli, A Fay, M Miśkowicz… - International Journal of …, 2019 - Taylor & Francis
In this paper we provide an overview of recent theoretical approaches and technologies that
respond to the fundamental challenges of modern factory automation. We classify these …

[HTML][HTML] Decentralized holonic control system model for line-less mobile assembly systems

AF Buckhorst, L Grahn, RH Schmitt - Robotics and Computer-Integrated …, 2022 - Elsevier
Abstract The Line-less Mobile Assembly System paradigm (short LMAS) provides
necessitated flexibility, especially for large-scale products as customer demands for …

Ontologies for industry 4.0

VRS Kumar, A Khamis, S Fiorini… - The Knowledge …, 2019 - cambridge.org
The current fourth industrial revolution, or 'Industry 4.0'(I4. 0), is driven by digital data,
connectivity, and cyber systems, and it has the potential to create impressive/new business …

Ontology building for cyber–physical systems: Application in the manufacturing domain

C Hildebrandt, A Köcher, C Küstner… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Cyber-physical systems (CPSs) in the manufacturing domain can be deployed to support
monitoring and analysis of production systems of a factory in order to improve, support, or …

Skill-based engineering and control on field-device-level with opc ua

P Zimmermann, E Axmann… - 2019 24th IEEE …, 2019 - ieeexplore.ieee.org
The configuration of current automated production systems is complex and therefore time
consuming while the market demands an easy setup and adaptability due to smaller batch …

Ontology building for cyber-physical systems: A domain expert-centric approach

C Hildebrandt, S Törsleff, B Caesar… - 2018 IEEE 14th …, 2018 - ieeexplore.ieee.org
Cyber-physical systems (CPS) usually have to cope with open contexts, ie the context that
these systems interact with through sensors and actuators or communication networks …

A CPPS-architecture and workflow for bringing agent-based technologies as a form of artificial intelligence into practice

LA Cruz Salazar, B Vogel-Heuser - at-Automatisierungstechnik, 2022 - degruyter.com
Due to the increase in Artificial Intelligence in the production systems domain, Industry 4.0
(I4. 0) experts must collaborate with autonomous systems. Industrial AI raises several …

Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an …

B Vogel-Heuser, M Böhm, F Brodeck, K Kugler… - Design …, 2020 - cambridge.org
In the context of cross-disciplinary and cross-company cooperation, several challenges in
developing manufacturing systems are revealed through industrial use cases. To tackle …

Improving la redoute's ci/cd pipeline and devops processes by applying machine learning techniques

AF Nogueira, JCB Ribeiro… - … conference on the …, 2018 - ieeexplore.ieee.org
The complexity inherent to software development and maintenance-not only in technical
terms, but also from a human perspective-entails challenges that can be addressed as …

A Process for Identifying and Modeling Relevant System Context for the Reconfiguration of Automated Systems

B Caesar, A Valdezate, J Ladiges… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Context-aware systems are gaining increasing importance in industry as managing and
using context information opens new opportunities for reconfiguration, digital twin concepts …