Manufacturing Process Control I

Manufacturing Process Control I

Course
en
English
88 h
This content is rated 5 out of 5
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  • From www.edx.org
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  • 8 Sequences
  • Intermediate Level

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Course details

Syllabus

  • 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

Prerequisite

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

Instructors

David Hardt
Ralph E. and Evelyn F. Cross Professor of Mechanical Engineering
Massachusetts Institute of Technology

Duane Boning
Co-Director, MIT Leaders for Global Operations Program
Massachusetts Institute of Technology

Editor

MIT is a world-class educational institution where teaching and research — with relevance to the practical world as a guiding principle — continue to be its primary purpose.

MIT is independent, coeducational, and privately endowed. Its five schools and one college encompass numerous academic departments, divisions and degree-granting programs, as well as interdisciplinary centers, laboratories and programs whose work cuts across traditional departmental boundaries.

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