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JMP® Education

Design of Experiments and Quality Improvement

JMP®: Statistical Process Control

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

Instructor-Led Class

Duration: 4 half-day sessions

Registration Fee: $400 US

Free On-Demand e-Learning

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Learn how to:

  • 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.

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.

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

Course Dates

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