Smart Manufacturing:

Moving From Static to Dynamic Manufacturing Operations

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START
END
DURATION
HOURS OF EFFORT
LANGUAGE
FORMAT
PRICE
MIT CEU’s

Smart Manufacturing:

Moving From Static to Dynamic Manufacturing Operations

Download the brochureRegister
START
END
DURATION
HOURS OF EFFORT
LANGUAGE
FORMAT
PRICE
MIT CEU’s

*

Welcome to Industry 4.0

The rapid evolution of technology is leading to a new industrial revolution. This revolution, based on cyber-physical production systems, challenges the traditional methods of completing operations in the manufacturing sector, making it increasingly dynamic.

Smart manufacturing consists of the convergence between the techniques used in modern data science and artificial intelligence, to create processes that can be used in the factory of the future.
But why is it necessary today?

Smart manufacturing technology increases efficiency and eliminates points of weakness 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.

31%

Nearly a third of surveyed manufacturers do not recognize the time to invest in digital technology solutions for their businesses, saying corporate management must lead the effort to adopt smart manufacturing.

Source: Gartner

34%

A third of enterprises surveyed responded that one of the main challenges to implementing smart manufacturing solutions was to find capable people.

Source: Small Medium Enterprises

50%

50% of organizations lacked sufficient artificial intelligence (AI) and data literacy skills to achieve business value by 2020.

Source: Gartner

An online program to understand the advances in the manufacturing sector

The online program Smart Manufacturing: Moving From Static to Dynamic Manufacturing Operations by MIT Professional Education unites new technologies, such as machine learning, the Internet of Things, and data analysis, resulting in comprehending the transformation process currently happening in the manufacturing sector. Discover the latest trends and problem resolution methods with smart manufacturing and learn how to apply these skills to your organization.

The factory of the future is here.

Do you know FrED?

In this online program, you will be immersed in smart manufacturing led by FrED, an intelligent machine designed by researchers at MIT, whose objective is to teach concepts, techniques, and advantages that are characterized by this technology.

LEARN MORE ABOUT THE PROGRAM SPECIFICS

Download the brochure

The skills you will develop

1.

VISUALIZE THE PRODUCTION OF DATA

to better understand the key variables and phenomena underlying manufacturing

2.

CONTROL OF THE MANUFACTURING PROCESSES,

feedback, process modeling, and monitoring

3.

APPLICATION OF ADVANCED DATA ANALYSIS

to prepare statistic models and test manufacturing processes

4.

DEVELOPMENT OF MODELS

to make sense of data, and to examine and improve FrED

5.

DISCOVERY OF THE ROLE PLAYED BY SENSORS

in data production and smart manufacturing, and evaluation of the types of data that can be produced

6.

EVALUATION OF SENSORS

and their proportionate data

7.

ANALYSIS OF THE DIFFERENCES

between the actual and predicted dynamics

8.

DEEPEN UNDERSTANDING IN INNOVATION

of machines and artificial vision. Learn more about the different iterations of FrED, whose objective is to provide examples of optimizing machines

9.

EXAMINATION OF THE DISCOVERY PROCESS

of data that best adjust to a model. The adaptation of models and sensitivity analysis establish the connection between artificial vision and the control of statistical processes

10.

COMPLETION OF AN ADVANCED DATA ANALYSIS

using datasets produced through FrED during the manufacturing process

In addition, you will receive a Certificate of Completion

All participants who successfully complete the online course Smart Manufacturing: Moving From Static to Dynamic Manufacturing Operations will receive an MIT Professional Education Certificate of Completion. In addition, they will also earn * Continuing Education Units (MIT CEUs).

In order to obtain CEUs, participants must complete a required CEU accreditation form. CEUs are calculated based on the number of learning hours in each course.

* An MIT CEU is a unit of credit equivalent to 10 hours of participation in an accredited program for professionals.

This program is directed towards

  • MANAGERS OF PLANTS, PRODUCTION, AND OPERATIONS
    who work in the manufacturing sector.
  • DATA SCIENTISTS
    who want to put their capabilities into practice in the field of smart manufacturing.
  • DESIGN AND MANUFACTURING ENGINEERS
    who are looking to learn about data and development models in the manufacturing sector.
  • CONSULTANTS
    whose objective is to put additional value on the latest innovative technology in the manufacturing sector.

This is considered a technical program by character. However, the material is accessible and relevant both to professionals who have background knowledge of smart manufacturing, and for those who already have experience in this field.

It is highly recommended that functional and cross-functional teams carry out the program together, in order to accelerate the process of adopting smart manufacturing practices.

Meet the Faculty of this program

DR. BRIAN W. ANTHONY

Associate Director of MIT.NANO

“Using technology to streamline the manufacturing process allows us to offer better products on the market, faster and more economically”.

Learn more

Dr. Anthony is director of the MIT Master of Engineering in Manufacturing Program, co-director of the Medical Electronic Device Realization Center and deputy director of the MIT Skoltech Initiative. He possesses more than 20 years of product realization experience and has won an Emmy from the Academy of Television Arts and Sciences for his innovations in broadcast technology. Dr. Anthony designs instruments and techniques to monitor and control physical systems. His work involves the analysis and the design of systems. He also uses mechanical, electrical and optical engineering as well as computer science and optimization to develop solutions.

Dr. Anthony´s research revolves around the design of instruments and techniques for measuring and controlling complex physical systems and includes the development of instruments and measurement solutions for manufacturing, medical diagnostics, and imaging diagnostics. In addition to his academic work, he has extensive experience in market-driven technological innovation, product development and entrepreneurship, and marketing at the point where information technology and advanced manufacturing come into contact. As a teacher, his main interests are the modeling of large-scale systems in a variety of areas involving decision making and the development of optimization algorithms and software useful for analyzing and designing these types of systems. He is an expert in market-driven technological innovations, as well as in entrepreneurship.

Are you ready to discover the factory of the future?

Download the brochureRegister