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Lean Manufacturing Principles Applied to the Engineering Classroom
Author(s) -
Eric Smith
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--28609
Subject(s) - kaizen , lean manufacturing , realization (probability) , value (mathematics) , focus (optics) , reduction (mathematics) , computer science , manufacturing engineering , engineering , mathematics , statistics , physics , geometry , optics , machine learning
Eric D. Smith is currently an Associate Professor at the University of Texas at El Paso (UTEP), a Minority Serving Institution (MSI) and a Hispanic Serving Institution (HSI), He works within the Industrial, Manufacturing and Systems Engineering (IMSE) Department, in particular with the Master of Science in Systems Engineering Program. He earned a B.S. in Physics in 1994, an M.S. in Systems Engineering in 2003, and his Ph.D. in Systems and Industrial Engineering in 2006 from the University of Arizona in Tucson, AZ. His dissertation research lay at the interface of systems engineering, cognitive science, and multi-criteria decision making. He earned his J.D. from Northwestern California University School of Law.

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