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
• engineer an SPC system
• calculate and interpret process capability indices
• 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 Duration
: 4 half-day session(s)

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

SPC System Engineering

• response variables
• phase !/phase II control
• out-of-control action plan
• SPC system monitoring (self-study)

Process Capability

• process capability
• process screening platform
• cautions

Attribute Charts

• introduction
• binomial charts
• Poission charts

Nonstandard Control Charts

• multiple sources of variation
• rare event charts
• control charts using probability limits

Dependent Data

• autocorrelation
• EWMA charts
• multivariate data

Case Study

Summary of Control Charts

JSPC13