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