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.
Course ID
ED016
Location
Online
Instructor(s)
MIT
Competencies
Communication, Critical Thinking, Variation Modeling, Process Analysis
Method of Delivery
Digital
Estimated Effort
96 hrs
Cost
Audit Free
Certification is paid for $ 175.00 ; Full financial aid available for certification