Manufacturing Process Control I
- Offered byedX
Manufacturing Process Control I at edX Overview
Manufacturing Process Control I
at edX
Duration | 8 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Manufacturing Process Control I at edX Highlights
Manufacturing Process Control I
at edX
- Offered By IE Business School
- Earn an instructor-signed certificate with the institution's logo to verify your achievement
- Available in Video Transcript: English
- Self paced Course
Read more
Manufacturing Process Control I at edX Course details
Manufacturing Process Control I
at edX
Skills you will learn
What are the course deliverables?
- Learn Variation modeling using the theory of Random Processes
- Learn Statistical Process Control (SPC) foundations and applications
- Learn Xbar, EWMA, CUSUM and discrete event methods for detecting process problems Learn Methods for analyzing process changes by looking at general process physics
- Learn How to apply these methods to achieve world-class quality in unit manufacturing
More about this course
- 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.
Manufacturing Process Control I at edX Curriculum
Manufacturing Process Control I
at edX
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
Assessing the appropriateness of various statistical methods for a variety of problems
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