Manufacturing Process Control II

Course 5 of 8: Principles of Manufacturing 8 weeks total 10 – 12 hours each week

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About this course

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.

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


Manufacturing Process Control I is required unless there is a strong prior knowledge of statistical methods and SPC.


Meet Your Instructors

David Hardt

Ralph E. and Evelyn F. Cross Professor of Mechanical Engineering at Massachusetts Institute of Technology Professor Hardt is a graduate of Lafayette College (BSME, 1972) and MIT (SM, PhD, 1978). He has been a member of the Mechanical Engineering faculty at MIT since 1979. His disciplinary focus is system dynamics and control as applied to manufacturing.

Duane Boning

Co-Director, MIT Leaders for Global Operations Program at Massachusetts Institute of Technology Dr. Duane S. Boning is the Clarence J. LeBel Professor in Electrical Engineering, and Professor of Electrical Engineering and Computer Science in the EECS Department at MIT. He is currently Director of the MIT/Masdar Institute Cooperative Program. Dr. Boning received his S.B. degrees in electrical engineering and in computer science in 1984, and his S.M. and Ph.D. degrees in electrical engineering in 1986 and 1991, respectively, all from the Massachusetts Institute of Technology.

Experience Level


Learning Partner

Massachusetts Institute of Technology

Program Type



Engineering Math
Advanced Business Harvard X-Series