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"JMP®: Statistical Process Control" Course Homepage
Mar 9, 2023 12:41 PM

Summary: This course teaches you how to set up and maintain a statistical process control system using JMP software.

Duration: 14 hours of content. 

Modalities:

  • on-demand -- This course is available as free on-demand e-learning. The course is currently only available in English, but local-language translation for subtitles will be coming later in 2023. Enroll Now!
  • live online with instructor -- This course is also available periodically in our public course schedule. The public courses are an opportunity to learn this content with a live instructor, but they are currently only offered in English and at times most convenient to a US audience (because most of our instructors are in US time zones). Don't see what you are looking for? Let us know. 

Prerequisites: Before attending this course, it is recommended that you complete the JMP® Software: A Case Study Approach to Data Exploration course or have equivalent experience.

Learning Objectives: 

  • Describe variation.
  • Generate and interpret basic quality charts.
  • Generate and interpret control charts for measurement data.
  • Improve control chart performance.
  • Calculate and interpret process capability indices.
  • Monitor many variables at once.
  • Handle data that does not meet assumptions, such as batch processing, correlated data, attribute data, or multivariate data.

Course Outline:

Introduction
  • Historical perspective of statistical process control.
  • Variation.
  • Data format.
  • Basic quality tools (optional) .
Control Charts for Measurement Data
  • Control chart builder.
  • X-MR charts.
  • XBar-R and XBar-S charts.
  • Additional tests.
  • Phases.
Process Capability
  • Process capability.
  • Process capability platform.
  • Cautions.
  • Manage specific limits.
Special Situations
  • Attribute charts.
  • Multiple sources of variation.
  • CUSUM and EWMA control charts.
  • Multivariate control charts.
  • Process screening platform.
Case Study
Summary of Control Charts
Additional Topics
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