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

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.

Who should attend

Individuals who want to learn how to use JMP to perform statistical process control and process capability analysis

Formats available	Standard Duration
Classroom:	2.0 days
Live Web Classroom:	4 half-day session(s)	System Requirements

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