Process Capability Analysis | For Engineers

Udemy MOOC / Non-credit USD 19.99
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Process Capability Analysis | For Engineers

About this course

This course has all what you need! This complete course will drive you to be an expert in process capability analysis, along with a special learning experience and having all topics covered, simplified and clear.No prerequisites are needed as the course itself, through section I, will give you all the knowledge that makes you ready to start learning process capability analysis.Furthermore, the course has examples almost on each discussed topic in order to bring a better understanding of each idea.The course also show how you can conduct process capability analysis through either Excel or Minitab.Per what has been mentioned, the course is definitely a good deal for you.As for the course content.It starts with introducing important topics such as data distributions, the normal distribution, normality testing and measures of performance. It then defines the process capability along with its all related indices ( Cp  Cpk  Cpm  Pp Ppk) along with an illustration on the sigma levels, scrap rate, defects per million opportunities ( DPMO ), statistical process control and man others.As capability analysis is covered, the course then introduces to you all the main optimization techniques for improving the process capability through 7 main steps within the optimization algorithm.Finally,  you will learn how to implement your optimization measures on the process more efficiently in regard to time.-------------------------------------------------------------------------------------------------------------------------------------------------------------------cp cpk calculation formulastandard value of cp and cpkcpk meaning statisticsmeaning of cp and cpk6 sigma cpk 1.33process capability ppt slideshareppk in spcminitab process capability analysis pdf

What you'll learn

  • understand data distributions
  • perform normality testing
  • calculate process capability indices (Cp, Cpk, etc.)
  • implement optimization techniques for process improvement
  • apply statistical process control principles

Course objectives

  • to equip engineers with skills in process capability analysis
  • to provide practical examples for better understanding
  • to teach effective optimization methods

Skills you'll gain

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