Manufacturing Process Control I

Randomness is inherent in all processes including manufacturing. The fundamental concepts taught in this course will help learners develop powerful statistical process control methods that are the foundation of world-class manufacturing quality. As part of the Principles of Manufacturing MicroMasters program, this course will introduce statistical methods that apply to any unit manufacturing process. We will cover the following topics: Recognizing inherent variability in continuous production Identifying sources of process output variation Describing variation in a structured manner Applying basic probability and statistics concepts to characterize process variation Differentiating between design specifications and process capability Synthesizing novel approaches to unfamiliar situations by extending the core material (i.e. go beyond the “standard” uses). Assessing the appropriateness of various statistical methods for a variety of problems 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 will earn the MicroMasters Credential and qualify to apply to gain credit towards MIT’s Master of Engineering in Advanced Manufacturing & Design program. --- Please note: edX Inc. has recently entered into an agreement to transfer the edX platform to 2U, Inc ., which will continue to run the platform thereafter. The sale will not affect your course enrollment, course fees or change your course experience for this offering. It is possible that the closing of the sale and the transfer of the edX platform may be effectuated sometime in the Fall while this course is running. Please be aware that there could be changes to the edX platform Privacy Policy or Terms of Service after the closing of the sale. However, 2U has committed to preserving robust privacy of individual data for all learners who use the platform. For more information see the edX Help Center . 3b:T1696,{

• Variation modeling using the theory of Random Processes
• Statistical Process Control (SPC) foundations and applications
• Xbar, EWMA, CUSUM and discrete event methods for detecting process problems
• Methods for analyzing process changes by looking at general process physics
• How to apply these methods to achieve world-class quality in unit manufacturing processes

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