Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning

Managing the manufacturing input such as designs, energy, and raw stock to sustainably operate machinery systems demands real-time data that can be used to control the process and can result in not only economic improvements but contribute to friendly environmental outcomes. The complexity of manufacturing systems and the need for interchangeability presents an ideal environment to implement smart manufacturing technologies with the goal of sustainability. Manufacturing engineering in an educational classroom is a good place to guide through and examine the shift to smart industrial systems using elements of industry 4.0 (i4.0), industrial internet of thing (IIoT), digital cloud, dashboards, data collection and processing along with integrated sensors. In this paper, the authors present a smart manufacturing engineering course developed and implemented. A summary of two offerings of this course is briefly described. It provided high engagement for students that has been observed through the learning process interactions. It also provided a platform to implement IIoT, digital cloud, and real-time data collection to help with the detection of unplanned events and behavior. The setup also provided tools for fast correction response and documentation.

© 2023 American Society for Engineering Education.

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Work Title Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning
Access
Open Access
Creators
  1. Hayder Zghair
  2. Rungun Nathan
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. ASEE Annual Conference and Exposition, Conference Proceedings
Publication Date June 25, 2023
Publisher Identifier (DOI)
  1. https://doi.org/10.18260/1-2--43543
Deposited January 19, 2025

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