Managing the manufacturing input such as designs, energy, and raw stock to sustainably operate machinery system demands a 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 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 system using elements of industry 4.0 (i4.0), industrial internet of thing (IIoT), digital cloud, dashboards, data collection and processing with integrative sensors. In this paper, the authors present smart manufacturing engineering course they developed and implemented. A summary of two offerings of this course in the Spring semester is briefly described. It provided high engagement for students. It also provided a platform to implement IIoT, digital cloud, real time data collection to help with detection of unplanned events and behavior. The setup also provided tools for fast correction response and documentation.
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