Manufacturing Process Control II
As part of the Principles of Manufacturing MicroMasters program, this course will build on statistical process control foundations to add process modeling and optimization.Building on formal methods of designed experiments, the course develops highly applicable methods for creating robust processes with optimal quality.
We will cover the following topics:
Evaluating the causality of inputs and parameters on the output measures
Designing experiments for the purpose of process improvement
Methods for optimizing processes and achieving robustness to noise inputs
How to integrate all of these methods into an overall approach to process control that can be widely applied
Developing a data-based statistical ability to solving engineering problems in general
The course will conclude with a capstone activity that will integrate all the Statistical Process Control topics.
Develop the engineering andmanagement 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 earn the MicroMasters Credential and qualify to apply to gain credit for MIT’s Master of Engineering in Advanced Manufacturing & Design program.
What you'll learn
- Multivariate regression for Input-output causality
- Design of experiments (DOE) methods to improve processes
- Response surface methods and process optimization based on DOE methods
- DOE-based methods for achieving processes that are robust to external variations
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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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