Manufacturing Process Control 1

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.


Course Objectives:

  • 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.


Recommended Background

  • Recommended for manufacturing personnel, including technicians, engineers, and managers.
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Course ID

ED016

Skill Focus

Smart Technology

Instructor(s)

MIT

Employee Type

New Applicants,1st level supervisors, Operations team

Method of Delivery

Digital

Estimated Effort

96 hrs

Cost

Audit Free


Certification is paid for $ 175.00 ; Full financial aid available for certification