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

Lernen Sie, wie Sie / 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.

Zielgruppe / Who should attend

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

Verfügbare Schulungsformen / Formats available	Dauer (kann variieren, Details s. Terminliste)
Präsenzkurs:	2.0 Tage
Live Web Class:	14 Stunden	Systemvoraussetzungen

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