Chapter 6: The Control Chart For Fraction Rejected

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Presentation transcript:

Chapter 6: The Control Chart For Fraction Rejected Eng. Mgt. 385 Statistical Process Control Stephen A. Raper Chapter 6: The Control Chart For Fraction Rejected

Control Charts For Attributes p chart, the chart for fraction rejected as nonconforming to specifications np chart, the control chart for number of nonconforming items c chart, the control chart for number of nonconformities u chart, the control chart for number of nonconformities per unit

Control Chart for Attributes Control charts to “gauge” level of quality coming from a process Can be cost advantages versus variable control charts Provides quality history Can serve as a “wake-up” call to improve quality

Control Charts for Attributes Fraction rejected p, may be defined as the ratio of the number of nonconforming articles found in any inspection or series of inspections to the total number of articles actually inspected. The binomial as a probability law applies Developed control charts development is similar to variable control charts, and interpretation is similar

Control Chart for Attributes Control limits can be developed where n is constant, or variable The central line, p or pbar, must be known, assumed, or estimated, but is generally held constant Development of trial control limits is similar development of trial control limits for variables Time order is necessary “removal” of out of control points is necessary to finalize control charts

Control Charts for Attributes Determination of the purpose of the p chart As pertains to 100% inspection Discover average proportion of nonconforming articles Bring to the attention of management any changes in the average quality level Discover out of control high spots and correct Discover out of control low spots and see if they are due to inspection error, or are legitimate improvements that can be converted into causes of consistent quality improvement Suggest places for the use of variable charts to diagnose quality problems.

Control Charts for Attributes Type I and Type II error probability issues are the same as control charts for variables, using Table G Problem solved tend to be easier to understand and interpret.

Program Completed University of Missouri-Rolla Copyright 2001 Curators of University of Missouri