abstract

• Current trends indicate that the manufacturing industry is moving toward implementing Industry 4.0 concepts in search of improved adaptability, efficiency, sustainability, and advanced technological implementation. Some of these new technologies include virtual process simulation, automation, machine learning technologies, and the use of IIoT to innovate solutions. Researchers are focusing on ways to improve the rate and economy of implementing Industry 4.0 concepts in current manufacturing processes. This paper focuses on the implementation of a combination of specific industry 4.0 concepts in a lab environment. There will also be a case study where this research will be applied, and the results discussed. Digital Twins is also a proposed component of the research case study that is implemented using Siemens PLM Tecnomatix tool. Future work is to improve the efficiency of the manufacturing, pick-and-place operation using Deep Reinforcement learning. Copyright © 2022 by ASME.

authors

• González Badillo Germánico
• Guerra-Zubiaga D.A.

publication date

• 2022-01-01

published in

• ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)  Proceedings

keywords

• Data Analytics; Digital Manufacturing; Digital Twin; Industry 4.0; Machine Learning Deep learning; E-learning; Efficiency; Engineering education; Industry 4.0; Reinforcement learning; Sustainable development; 'current; Case-studies; Data analytics; Digital manufacturing; Intelligent Manufacturing; Machine-learning; Manufacturing Automation; Manufacturing industries; Process simulations; Virtual process; Data Analytics

Digital Object Identifier (DOI)

• 10.1115/IMECE2022-96092

PubMed ID

start page

end page

volume

• 2-B

issue