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Manufacturing Process Control II

Learn how to control process variation, including methods to design experiments that capture process behavior and understand means to control variability.

Manufacturing Process Control II

Learn how to control process variation, including methods to design experiments that capture process behavior and understand means to control variability.

As part of the Principles of Manufacturing MicroMasters program, this course will build on statistical process control foundations to add process modeling and optimization.Building on formal methods of designed experiments, the course develops highly applicable methods for creating robust processes with optimal quality.

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We will cover the following topics:

  • Evaluating the causality of inputs and parameters on the output measures
  • Designing experiments for the purpose of process improvement
  • Methods for optimizing processes and achieving robustness to noise inputs
  • How to integrate all of these methods into an overall approach to process control that can be widely applied
  • Developing a data-based statistical ability to solving engineering problems in general
  • The course will conclude with a capstone activity that will integrate all the Statistical Process Control topics.

Develop the engineering and management skills needed for competence and competitiveness in today’s manufacturing industry with the Principles of Manufacturing MicroMasters Credential, designed and delivered by MIT’s #1-ranked Mechanical Engineering department in the world. Learners who pass the 8 courses in the program earn the MicroMasters Credential and qualify to apply to gain credit for MIT’s Master of Engineering in Advanced Manufacturing & Design program

What you'll learn

  • Multivariate regression for Input-output causality
  • Design of experiments (DOE) methods to improve processes
  • Response surface methods and process optimization based on DOE methods
  • DOE-based methods for achieving processes that are robust to external variations

Prerequisites

Engineering Undergraduate preparation; some knowledge of basic manufacturing processes. Knowledge or probability theory is helpful but not necessary.

Meet your instructors

  • Featured image for David Hardt
    Ralph E. and Evelyn F. Cross Professor of Mechanical Engineering
  • Featured image for Duane Boning
    Co-Director, MIT Leaders for Global Operations Program

Who can take this course?

Because of U.S. Office of Foreign Assets Control (OFAC) restrictions and other U.S. federal regulations, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba, North Korea and the Crimea, Donetsk People's Republic and Luhansk People's Republic regions of Ukraine.