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Date(s)
Jul 06, 2022 - Apr 06, 2023
Registration Deadline
Location
Online
Program Length
9 months
Program Fee
$13,400
CEUs
36.6

From leading technologies such as the internet of things (IoT) and artificial intelligence to understanding the fundamentals of smart manufacturing and product platforms, the new Professional Certificate Program in Industry 4.0 is designed to prepare professionals to tackle these challenges head-on and will provide them with the knowledge and tools to succeed in the digital age.

Overview

Organizations operate in an environment that is technologically and competitively evolving more rapidly than ever before. As such, they continue to redesign their product operations, business models, and customer support solutions. Until now, industry has sought profitability in standardization, series production, large volumes, and cost reduction. Now, organizations must adjust to this disruptive market leveraging technology to drive growth and efficiency.

From leading technologies such as the internet of things (IoT) and artificial intelligence to understanding the fundamentals of smart manufacturing and product platforms, through the Professional Certificate Program in Industry 4.0, we prepare professionals to tackle these challenges head-on and provide them with the knowledge and tools to succeed in the digital age.

"The design of platforms and product families is aimed at achieving long-term success and survival of companies"
-Professor Olivier de Weck, Professor of Aeronautics, Astronautics, and Systems Engineering at MIT

Learning Outcomes
  • Understand the evolution of the industry from craft manufacturing to mass customization.
  • Leverage platforms for identifying new market and product opportunities to generate revenue growth.
  • Identify major contemporary methods and tools for product family and platform design.
  • Explore emerging trends in smart manufacturing and visualize production data to better understand key variables and underlying phenomena in a manufacturing environment.
  • Delve deeper into machine innovation and machine vision, working through different iterations of a fiber extrusion device (FrED), specifically designed to provide program participants examples of how to optimize machines.
  • Carry out advanced data analysis using data sets produced on FrED in a manufacturing setting.
  • Apply the theory behind the IOT+ to construct real applications and improve them using smart technologies.
  • Learn to quantify technological progress over time using relevant figures of merit (FOMs), and map one or more technologies to a target product and/or service of their choice and set realistic FOM-based targets.
  • Develop strategies, cultures, and structures from a leadership perspective that foster creativity and innovation.
     

"Using technology to refine the manufacturing process allows us to offer better products in the market, faster and more economically".
Dr. Brian W. Anthony, Associate Director of MIT.Nano

Who Should Attend
  • Plant managers and product managers.
  • Product line strategists, platform architects, R&D engineers, and systems engineers in industrial and government contexts.
  • 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.
  • Engineers and technical professionals committed to understanding the benefits of utilizing technology to develop sustainable infrastructure systems to enhance our global quality of life.
  • Functional and cross-functional teams are encouraged to attend the program together to acquire in-depth knowledge of the technologies that are shaping the 4th Industrial Revolution.

"Leaders learn to find important problems but define them in such a way that allows a team to come together to solve them"
-Dr. David Niño, Senior Lecturer at MIT

Courses
  • Management of Technology
  • Designing Product Families
  • Smart Manufacturing
  • Beyond IoT
  • Elective Course