Smart manufacturing is a convergence of modern data science techniques and artificial intelligence to form the factory of the future. Smart manufacturing is about increasing efficiency and eliminating pain points in your system. It’s characterized by a highly connected, knowledge-enabled industrial enterprise where all organizations and operating systems are linked, leading to enhanced productivity, sustainability, and economic performance.
MIT Professional Education's Smart Manufacturing online program brings together cutting-edge technology like machine learning, Internet of Things, and data analytics to understand the current transformation of the manufacturing sector.
In keeping with MIT’s founding principle Mens et Manus (Mind and Hand)—the synergy of theory and practice being at the heart of the learning experience—you’ll learn by doing. The program centers around a smart machine—a fiber extrusion device, fondly referred to as FrED—to demonstrate concepts as well as incorporate problem-solving skills into the curriculum. Furthermore, you'll have a chance to engage with your peers and expert learning facilitators to explore how these concepts can be leveraged in your organization. Regardless of where you are on your smart manufacturing journey, this program provides the latest thought leadership in smart manufacturing techniques. The factory of the future is here.
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Who is this program for
This program is somewhat technical in nature, however this program material is highly accessible for those new to smart manufacturing concepts, while also being valuable for those who already have some experience with these concepts. There are no prerequisites for this program. It is designed for:
- Plant managers working in manufacturing
- Design and manufacturing engineers seeking to learn about data and modelling in a manufacturing environment
- Data scientists looking to apply their craft to the growing field of smart manufacturing
- Consultants who want to add value around the latest technology transformations in manufacturing
- Functional and cross-functional teams are encouraged to attend together to accelerate the smart manufacturing adoption process
What's in the Course
Module 1: Introduction to Smart Manufacturing and FrED
Module 2: Analyzing Data: A Visualization Approach
Module 3: Modeling to Make Sense of Data
Module 4: Sensors
Module 5: Control of Manufacturing Processes
Module 6: Machine Vision
Module 7: Applications of Machine Vision
Module 8: Model Fitting and Sensitivity Analysis
Module 9: Statistical Process Control
Module 10: Advanced Data Analysis
About the Instructor
Dr. BRIAN W. ANTHONY
Principal Research Scientist, MIT Mechanical Engineering
Director, Master of Engineering in Manufacturing Program, Massachusetts Institute of Technology
Director of MIT.nano, MIT
Professor Anthony is the co-director of MIT’s Medical Electronic Device Realization Center and associate director of MIT.nano. With over 25 years of experience in product realization, Professor Anthony designs instruments and techniques to monitor and control physical systems. His work involves systems analysis and design, calling upon mechanical, electrical, and optical engineering, along with computer science and optimization.
He has extensive experience in market-driven technology innovation, product realization, and entrepreneurship and commercialization at the intersection between information technology, design, and advanced manufacturing. Professor Anthony spent the first part of his career as an entrepreneur. He advanced and directed the development of products and solutions for the industrial and scientific video markets. He has been awarded 20 patents, published over 50 peer-reviewed articles, and won an Emmy from the Academy of Television Arts and Sciences for innovations in sports broadcasting.