1 Smart Manufacturing: Operations in the 4th Industrial Revolution Online program Smart Manufacturing: Operations in the 4th Industrial Revolution 2 Smart Manufacturing: Operations in the 4th Industrial Revolution
The Role of Smart Manufacturing in Today’s Landscape Welcome to Industry 4.0, where new technologies and their rapid evolution are leading us to a new industrial revolution based on cyberphysical production systems that challenge traditional methods of carrying out operations in the manufacturing industry and make it more dynamic.
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 the 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. 3 Smart Manufacturing: Operations in the 4th Industrial Revolution
About the Program
MIT Professional Education´s online program in Smart Manufacturing brings together cutting-edge technology like machine learning, the Internet of Things (IoT), 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—participants will 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, participants will have a chance to engage with their peers and expert learning facilitators to explore how these concepts can be leveraged in their organization.
The factory of the future is here.
“Using technology to refine the manufacturing process has been a steady interest throughout my career and allows better products to be offered on the market, faster and more economically.”
Dr. Brian W. Anthony Director of Mechanical Engineering at MIT and MIT.nano Smart Manufacturing Instructor
10 WEEKS IN ENGLISH 100% ONLINE
A
8/10 hours per week 4 Smart Manufacturing: Operations in the 4th Industrial Revolution
Objectives
Participants will have the opportunity to:
Examine emerging trends in smart manufacturing.
Visualize data production to better understand key variables and underlying phenomena in a manufacturing environment.
Assess and evaluate sensors and the data they produce.
Understand the role that machine vision plays in monitoring and intervening in a manufacturing setting.
Apply advanced data analytics to train statistical models and test manufacturing processes.
Build models to make sense of data and to examine and improve FrED.
Discuss the integral role that sensors play in producing data and smart manufacturing, and assess the types of data that they can produce.
Control manufacturing processes, feedback, and process modeling and monitoring.
Parse the differences between real and predicted dynamics.
Delve deeper into machine innovation and machine vision, and walk through different iterations of FrED to provide examples of how to optimize machines.
Explore the data discovery process that best fits a model. Model fitting and sensitivity analysis will establish the connection between machine vision and statistical process control.
Carry out advanced data analysis using data sets produced on FrED in a manufacturing setting. 5 Smart Manufacturing: Operations in the 4th Industrial Revolution
Who Should Take This Program?
This program is somewhat technical in nature. The program material, however, 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 modeling 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.
“MIT Professional Education’s programs tackle all the technologies that are at the heart of the digital transformation, enabling dedicated professionals to meet new challenges in the Fourth Industrial Revolution and lead change within their organizations.”
Clara Piloto Director of Global Programs at MIT Professional Education 6 Smart Manufacturing: Operations in the 4th Industrial Revolution
Program Outline
Introduction to Smart Manufacturing and FrED 01 MODULE • 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.
Analyzing Data: A Visualization Approach 02 MODULE • Explore the convergence of manufacturing and data science expertise in the field of smart manufacturing. • Use time series analysis to understand FrED.
Modeling to Make Sense of Data 03 MODULE • Build models to examine and improve FrED. • Explore how the length of a production run can affect results.
Sensors
04 • Review the integral role sensors play in smart manufacturing. MODULE • Evaluate sensors and assess the types of data they produce. 7 Smart Manufacturing: Operations in the 4th Industrial Revolution
Control of Manufacturing Processes 05 MODULE • Explore manufacturing process control, the role of feedback, process modeling, and monitoring. • Discuss actual versus predicted dynamics.
Machine Vision 06 MODULE • Take test measurements using a camera. • Explore how machines use cameras and images to inform decisions and improve the manufacturing process.
Applications of Machine Vision 07 MODULE • Explore applications of machine vision in video searches, sports, and medicine. • Discuss applications of machine vision in additional contexts.
Model Fitting, Sensitivity Analysis, and Statistical Process Control 08 MODULE • Make the connection between machine vision as a tool and statistical process control. • Explore the process of discovering best fit for a model.
Statistical Process Control 09 MODULE • Apply statistical process control to a manufacturing setting. • Intregrate deterministic and random variation.
Advanced Data Analysis 10 MODULE • Work with data sets derived from the manufacturing process to control multiple machines. • Explore concepts in cloud computing to control multiple machines.
“At MIT Professional we have a mission: we motivate students by providing excellent education and empowering them to work in today’s modern environment.” Bhaskar Pant Executive Director of MIT Professional Education
Transformação Digital 8 Smart Manufacturing: Operations in the 4th Industrial Revolution
Methodology and Assessment
This program is highly collaborative, relying on discussion forums and group activities. The focus is 100% practical, based on the case study method and various tools that participants can apply immediately in their professional life.
Live online sessions by professors and industry experts who will teach real-life applications and respond to participants’ questions
Additional resources such as videos Business cases and recommended readings The participant will be accompanied throughout the program by a learning facilitator who will be available to resolve doubts and Practical Review answer any questions. activities activities
Guided discussion Self-assessment forums 9 Smart Manufacturing: Operations in the 4th Industrial Revolution
Instructor Dr. Brian W. Anthony
Associate Director, MIT.nano
Brian W. Anthony is the co-director of MIT’s Medical Electronic Device Realization Center and Associate Director of MIT.nano. With more than 25 years of experience in product realization, Dr. 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. He has been awarded 20 patents, published more than 50 peer- reviewed articles, and won an Emmy from the Academy of Television Arts and Sciences for innovations in sports broadcasting.
Dr. Anthony holds the following degrees:
• PhD in Engineering, Massachusetts Institute of Technology
• MS in Engineering, Massachusetts Institute of Technology
• BS in Engineering, Carnegie Mellon University 10 Smart Manufacturing: Operations in the 4th Industrial Revolution
Custom Programs
At MIT Professional Education, we are committed to accompanying organizations as they aspire to provide their professionals with the ongoing education critical for success in today’s competitive environment. That’s why we offer plans for companies who wish to train their professionals with us:
Working teams or groups of at least 10 people are eligible for special rates.
Custom programs, tailor made for the need of any company and its professionals.
For any more information on Custom Programs, we invite you to contact us at [email protected]. 11 Smart Manufacturing: Operations in the 4th Industrial Revolution
Certificate of Completion
All participants that successfully complete the program will receive a Digital Certificate from MIT Professional Education (MIT Professional Education Certificate of Completion). Those who complete the program will earn 8 Continuing Education Units (MIT CEUs). These are calculated for each program according to number of learning hours.
To earn MIT CEUs, participants must complete the online CEU program survey in their learning platform. These CEUs may be applied toward professional certifications or other required training or continuing education hours. Please consult your professional education department or other relevant individuals directly for more information.
SHARE AND TAG #MITProfessional
@MIT Professional Education
@MITProfessional 12 Smart Manufacturing: Operations in the 4th Industrial Revolution
How to Enroll
1. Complete the form on the registration page.
2. Your place will be reserved upon confirmation of payment.
We will send you the necessary information to access the virtual 3. campus so that you can begin to familiarize yourself with it. Program content will be available on the program start date. If you would like to learn more, get in touch with us here:
USA: +1 617 861 2554 Spain: +34 660 558 464
professionalprograms.mit.edu [email protected]