DescriptionStatistical Process Control (SPC) is the application of statistical techniques to determine if the outputs of a process conform with target product or service models. One of the most common and useful tools in SPC is the control chart. Concepts of Control Charts demonstrates how to analyze control chart data so that quality technicians and other professionals can judge whether a process has changed, and by how much. They will also be able to associate patterns on a chart with specific influences that are affecting a process to decide whether they want to address these influences. This course is valuable for any quality systems professional responsible for ensuring the stability of processes over time.
Lesson 1: Types of Control Charts
- Identify the main components of a control chart
- Identify the benefits of control charts
- Distinguish between in-control and in-specification
- Identify control charts in relation to which statistics (variables) they are used to measure
- Identify how various types of control charts measure statistical control
- Identify the purposes and characteristics of four types of attributes control charts and four types of variables control charts
Lesson 2: Control Chart Rules
- Distinguish between the characteristics of a process that is "in statistical control" and one that is "out of statistical control"
- Identify possible causes for nonrandom patterns
- Analyze characteristics of charts, and distinguish which types of nonrandom patterns are being displayed
- Identify minimum requirements for a reaction plan
Lesson 3: Developing Control Charts
- Identify initial considerations when planning a control chart analysis
- List the aspects of control chart usage operators must know
- Calculate the center line and control limits in a control chart
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