制造过程控制 I

Manufacturing Process Control I

Learn how to model variations in manufacturing processes and develop methods to reduce and control deterministic variations to achieve consistent process quality.

1349 次查看
麻省理工学院
edX
  • 完成时间大约为 8
  • 中级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

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

课程概况

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.

预备知识

Engineering Undergraduate preparation; some knowledge of basic manufacturing processes. Knowledge or probability theory is helpful but not necessary.

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