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.
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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
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Rating | Not enough ratings |
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Length | 8 weeks |
Effort | 8 weeks, 10–12 hours per week |
Starts | On Demand (Start anytime) |
Cost | $175 |
From | Massachusetts Institute of Technology, MITx via edX |
Instructors | Duane Boning, David Hardt |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Mathematics |
Tags | Math Engineering |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Quality Control Process Technician $55k
Process Control programmer $63k
Process Control Coordinator $76k
Process Control Systems Technician $87k
Process Control Team Technician $94k
Process Control Auditor $98k
Process Control Analyst 1 $99k
Process Control Manger $104k
Senior Process / Process Control Engineer $108k
Process Control Group Leader $108k
Process Control Engineer 5 $129k
Process Control System Engineer $140k
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Rating | Not enough ratings |
---|---|
Length | 8 weeks |
Effort | 8 weeks, 10–12 hours per week |
Starts | On Demand (Start anytime) |
Cost | $175 |
From | Massachusetts Institute of Technology, MITx via edX |
Instructors | Duane Boning, David Hardt |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Mathematics |
Tags | Math Engineering |
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