[HTML][HTML] Industry 4.0 smart reconfigurable manufacturing machines

J Morgan, M Halton, Y Qiao, JG Breslin - Journal of Manufacturing Systems, 2021 - Elsevier
This paper provides a fundamental research review of Reconfigurable Manufacturing
Systems (RMS), which uniquely explores the state-of-the-art in distributed and decentralized …

Optical metrology for digital manufacturing: a review

S Catalucci, A Thompson, S Piano… - … International Journal of …, 2022 - Springer
With the increasing adoption of Industry 4.0, optical metrology has experienced a significant
boom in its implementation, as an ever-increasing number of manufacturing processes are …

Internet of things (IoT) and big data analytics (BDA) for digital manufacturing (DM)

Z Bi, Y Jin, P Maropoulos, WJ Zhang… - International Journal of …, 2023 - Taylor & Francis
This paper aims to investigate the impact of enterprise architecture (EA) on system
capabilities in dealing with changes and uncertainties in globalised business environments …

YOLO-GD: a deep learning-based object detection algorithm for empty-dish recycling robots

X Yue, H Li, M Shimizu, S Kawamura, L Meng - Machines, 2022 - mdpi.com
Due to the workforce shortage caused by the declining birth rate and aging population,
robotics is one of the solutions to replace humans and overcome this urgent problem. This …

Trade-in-to-upgrade as a marketing strategy in disassembly-to-order systems at the edge of blockchain technology

Ö Tozanlı, E Kongar, SM Gupta - International Journal of …, 2020 - Taylor & Francis
Growing environmental awareness and widening extended producer responsibility have
heightened the need for economically, environmentally, and socially sustainable business …

Extended reality application framework for a digital-twin-based smart crane

C Yang, X Tu, J Autiosalo, R Ala-Laurinaho, J Mattila… - Applied Sciences, 2022 - mdpi.com
Industry 4.0 is moving forward under technology upgrades, utilizing information technology
to improve the intelligence of the industry, whereas Industry 5.0 is value-driven, aiming to …

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 …

Implementing industry 4.0 for flexibility, quality, and productivity improvement: technology arrangements for different purposes

DV Enrique, GA Marodin, FBC Santos… - International Journal of …, 2023 - Taylor & Francis
Productivity, quality, and flexibility are key production targets pursued by companies that
adopt Industry 4.0. However, it is unclear how Industry 4.0 technologies can help achieve …

Tool condition monitoring framework for predictive maintenance: a case study on milling process

E Traini, G Bruno, F Lombardi - International Journal of Production …, 2021 - Taylor & Francis
In metal cutting processes, tool condition monitoring has a great importance to prevent
surface damage and maintaining the quality of surface finishing. With the development of …

Learning from demonstrations in human–robot collaborative scenarios: A survey

AD Sosa-Ceron, HG Gonzalez-Hernandez… - Robotics, 2022 - mdpi.com
Human–Robot Collaboration (HRC) is an interdisciplinary research area that has gained
attention within the smart manufacturing context. To address changes within manufacturing …