# Statistical Process Control

## Statistical Process Control Courses Duration: 2.00 Hrs

Course Level: Intermediate
Languages: English
Capability: Audio, Video, MobileReady

This course is designed to familiarize participants with some of the basic control charts used in statistical process control (SPC). After completing this course, participants should be able to describe the characteristics of X-bar charts, R charts, moving X-bar charts, moving R charts and individual X charts. They should also be able to explain what each chart represents and how to plot values on each chart.

#### Learning Objectives

Control Charts, Part 1

• Describe how SPC is helpful in responding to an out-of-control process.
• Explain what X charts represent.
• Describe how to plot values on an X chart.
• Explain what R charts represent.
• Describe how to plot values on an R chart.
• Explain why an X and an R chart are commonly used together.
• Describe how to recognize abnormal variations on X charts and R charts.

Control Charts, Part 2

• Describe the characteristics of moving X charts.
• Describe how to plot values on a moving X chart.
• Describe the characteristics of moving R charts.
• Describe how to plot values on a moving R chart.
• Describe the characteristics of individual X charts.
• Describe how to plot values on an individual X chart.

Duration: 2.00 Hrs

Course Level: Intermediate
Languages: English
Capability: Audio, Video, MobileReady

This course is designed to familiarize participants with the basic principles of statistical process control (SPC). After completing this course, participants should be able to explain what SPC is and how SPC can be applied to a process. They should also be able to describe the basic elements of an SPC control chart and relate an SPC control chart to an X-Y graph and to a normal distribution curve.

#### Learning Objectives

• Define quality in terms of the process industry.
• Explain what SPC is.
• Describe the benefits of SPC.
• Describe how SPC was developed.
• Describe what a process is.
• Identify factors that affect a process.
• Describe the two basic types of variation in a process.
• Identify factors that affect how SPC is applied to a process.
• Describe how to plot values on a basic X-Y graph.
• Explain what a histogram is and how it relates to SPC control charts.
• Explain what a standard deviation is.
• Identify the basic elements of a typical Shewhart control chart.
• Relate a Shewhart control chart to a normal distribution curve.

Duration: 2.00 Hrs

Course Level: Intermediate
Languages: English
Capability: Audio, Video, MobileReady

This course is designed to familiarize participants with some basic techniques for using statistical process control (SPC) to recognize and respond to variations in plant processes. After completing this course, participants should be able to describe how plotted values on control charts can be interpreted, describe how an operator can use SPC to recognize and respond to out-of-control conditions and process instability, describe basic considerations for using SPC with a computer, and explain how to use various types of attribute charts.

#### Learning Objectives

• Describe how plotted values on control charts can be interpreted.
• Describe common patterns of instability and identify conditions that can cause these patterns to occur.
• Describe how an operator can use SPC to recognize and respond to problems in a process.
• Define CUSUM and explain how it can be used.
• Describe how using CUSUM compares to using control charts.
• Describe two common causes of an off-aim condition.
• Describe how to reset CUSUM and how to set a new aim.
• Define the terms “defect” and “defective product.”
• Describe how to use C charts, U Charts, NP charts, and P charts.