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
e-Learning:	14 hours/180 day license	System Requirements

Before attending this course, it is recommended that you complete the JMP® Software: A Case Study Approach to Data Exploration and JMP® Software: Statistical Decisions Using ANOVA and Regression courses or have equivalent experience.

Introduction

• From SQC to SPC.
• Variation.
• Data format.
• Basic quality tools.

Control Charts for Measurement Data

• Control charts.
• X-MR charts.
• XBar-R and XBar-S charts.
• Out-of-Control Action Plan.
• Additional tests.
• Phases.
• Probability limits.

Process Capability

• Process capability.
• Process Capability platform.
• Cautions.
• Manage specific limits.
• Process Screening platform.

Advanced Control Charts

• CUSUM and EWMA control charts.
• Multivariate control charts.

Special Situations

• Attribute charts.
• Multiple sources of variation.
• Autocorrelation.
• System engineering.

Case Studies

Summary of Control Charts