We also found that for technical materials, student audiences required more of the fundamental instrumentation and statistical analysis topics, while current technical practitioners desired specific deep dives into data analytics, digital twinning, and process optimization after introductory overviews. We found that the proper technical scope is critical for a given audience and that all types of manufacturing personnel, from technicians and engineers to operations and management, benefit from foundational smart manufacturing concepts and examples. Pre- and post-attitude surveys, along with participant comments, were used to assess the training approach and content. ![]() Select modules of the Factory 4.0 toolkit were delivered in an undergraduate course and in a training workshop for manufacturing personnel. The combination of overview conceptual materials along with in-depth activities on an actual process allows us to tailor the scope of the specific training to the intended audience. The activities culminate in the exploration of advanced feedback control algorithms and optimization of operating conditions, balancing throughput, quality, and power consumption, using digital twins. Through investigation of the mock production platform and associated data, concepts and applications of modern data-driven tools are explored in the topic areas of data collection and the industrial internet of things, data analytics and predictive modeling for production data, simulation and digital twinning, and process and manufacturing systems optimization. We have developed an educational toolkit that leverages an inexpensive, bench scale extrusion platform to provide lab activities and feature-rich data to explore fundamental concepts of smart manufacturing in a production context for an audience of both undergraduate engineering students and current manufacturing workforce members. Often, smart manufacturing training materials are either broad and conceptual or a specific technical deep dive with little context. ![]() R.The rapid pace of technology development in the field of smart manufacturing has left educational systems scrambling to keep pace and adapt learning outcomes, resulting in inadequate preparedness and readiness of workforce at all levels. Steven White 81 or 863-6337 Project Coordinatorsįor questions about a project in a specific department, please contact: Biomedical EngineeringĬharles Purdum 81 Science and Engineering Jessica Menold, Associate Director for Outreach and Inclusion Learning Factory Shop Supervisor ![]() Jesse Torba, Industry Relations Coordinator 81 Jesse to discuss project ideas. Matthew Parkinson, Learning Factory Director 81 Winkelblech, Industry Relations Coordinator 81 Cindy to discuss your project's financial sponsorship support (gift/donation). Please contact Steven White if you have questions about the Learning Factory Shop located in Engineering Services Building. ![]() Please contact one of the following if you have questions about the Learning Factory Capstone Design Project Program. Learning Factory Faculty and Staff Program Administrators
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