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英文质量管理课件质量管理QualityManagementStabilizingandImprovingaProcesswithControlCharts.ppt

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英文质量管理课件质量管理QualityManagementStabilizingandImprovingaProcesswithControlCharts.ppt

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英文质量管理课件质量管理QualityManagementStabilizingandImprovingaProcesswithControlCharts.ppt

文档介绍

文档介绍:Chapter 6
Stabilizing and Improving a Process with Control Charts
Chapter 6 Stabilizing and Improving a Process with Control Charts
Sections 
Introduction
Process Variation
The Structure of Control Charts
Stabilizing a Process with Control Charts
Advantages of a Stable Process
Improving a Process with Control Charts
Two Possible Mistakes in Using Control Charts
Stabilizing a process with Control Charts
Quality Consciousness and Types of Control Charts
Three Uses of Control Charts
Take Away Knowledge
Summary
Key Words
References
Exercises
Appendix 6: Using Minitab for p-charts
Chapter 6 Stabilizing and Improving a Process with Control Charts
Learning Objectives (You will be able to:)
To explain the need for continual reduction of variation, even when the quality characteristic is within specifications.
To discuss the use of control charts to stabilize and improve a process.
To discuss the consequences of over and under-adjustment of a process.
To detect out-of-control behavior using the 7 Western Electric rules.
To describe how attributes control charts can be used for defect prevention.
To describe how variables control charts can be used for never-ending improvement.
To discuss the purposes of studying control charts.
Introduction
A process that has been defined and documented can be stabilized and then improved. In great measure this can be plished through the use of statistical control charts, as well as other techniques.
Without valid measurements, process improvements are difficult if not impossible, and perhaps the best means of measuring process performance is a statistical control chart.
Control charts and other tools and methods we describe must be used in an environment that provides a positive atmosphere for process improvement; and top management must sincerely desire real process improvement.
W. E. Deming points out that "any attempt to use statistical techniques under conditions that rob the hourly worker of his pride in workmanship will le