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Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations 
offered by MIT University

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Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
 at 
MIT University 
Overview

Learn how sensors, software, and systems can create a smart enterprise at any scale

Duration

10 weeks

Total fee

2.25 Lakh

Mode of learning

Online

Schedule type

Self paced

Course Level

UG Certificate

Details Icon

Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
 at 
MIT University 
Course details

Who should do this course?
  • For Plant managers working in manufacturing
  • For Design and manufacturing engineers
  • For Data scientists
  • For Consultants who want to add value around the latest technology transformations in manufacturing
  • For Functional and cross-functional teams
What are the course deliverables?
  • Learn the basic tenets of smart manufacturing as Dr. Brian W. Anthony and his team of researchers continuously improve FrED's software and hardware components
  • Explore with expert Learning Facilitators how concepts can be applied to your organization
  • Explore how smart manufacturing principles have had a real impact in sports and medicine
  • Share resources, engage in online discussions, and participate in live webinars with peers from around the world
More about this course
  • This 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
  • 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

Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
 at 
MIT University 
Curriculum

Module 1: Introduction to Smart Manufacturing and FrED

Identify global trends bringing major changes to society, products, and the manufacturing process

Learn how FrED serves as a prototype for innovations that are possible within smart manufacturing

Module 2: Analyzing Data: A Visualization Approach

Explore the convergence of manufacturing expertise and data science expertise in the field of smart manufacturing

Use time series analysis to understand FrED

Module 3: Modeling to Make Sense of Data

Build models to examine and improve FrED

Explore how the length of a production run can affect results

Module 4: Sensors

Review the integral role that sensors play in smart manufacturing

Evaluate sensors and assess the types of data that sensors produce

Module 5: Control of Manufacturing Processes

Explore manufacturing process control, the role of feedback, process modeling, and monitoring

Discuss actual versus predicted dynamics

Module 6: Machine Vision

Take test measurements using a camera

Explore how machines use cameras and images to inform decisions and improve the manufacturing process

Faculty Icon

Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
 at 
MIT University 
Faculty details

Brian Anthony
Brian 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, Brian Anthony designs instruments and techniques to monitor and control physical systems.

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Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
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MIT University 
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Smart Manufacturing: Moving from Static to Dynamic Manufacturing Operations
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MIT University 
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