Course description
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
Upcoming start dates
1 start date available
Suitability - Who should attend?
Prerequisites
Engineering Undergraduate preparation; some knowledge of basic manufacturing processes. Knowledge or probability theory is helpful but not necessary.
Outcome / Qualification etc.
What you'll learn
- 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
Course delivery details
This course is offered through Massachusetts Institute of Technology, a partner institute of EdX.
10-12 hours per week
Expenses
- Verified Track -$175
- Audit Track - Free
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