Manufacturing Process Control II

MOOC
Manufacturing Process Control II
Language
English
Duration
1 month
Certificate
Certification paid
Course by EdX
Manufacturing Process Control II
What will you 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
About the 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 andmanagement 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.

Program
Manufacturing Process Control II
Learn how to control process variation, including methods to design experiments that capture process behavior and understandmeans to control variability.
Lecturers
Duane Boning
Duane Boning
Co-Director, MIT Leaders for Global Operations Program Massachusetts Institute of Technology
David Hardt
David Hardt
Ralph E. and Evelyn F. Cross Professor of Mechanical Engineering Massachusetts Institute of Technology
Platform
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