Quality and Process Improvement
This book offers readers step-by-step approaches for achieving quality and process improvement through the use of many techniques. These methods include statistical process control, flowcharting, Pareto analysis and fishbone diagramming, process capability and process capability indices, design of experiments (DOE), and more! The first part of the book establishes the building blocks upon which quality is based, discussing each in great detail while using everyday examples to link individual concepts to the world of quality and illustrate how they interface with one another. Once this foundation has been established, the second part of the book encourages readers to apply the techniques of quality systematically to achieve documented process improvement. Complex mathematical concepts are presented and explained at a level that is easy to understand, to help readers to gain a sound understanding of DOE, enabling them to determine the level settings for different factors and predict optimum level settings and expected outcome.
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Measurement of Data for Quality
The Fundamentals of Statistics for Quality
Flowcharting the Process
Pareto Analysis and Fishbone Diagram
Contents of process flowcharts and training manuals are best classified
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accuracy and precision actual flowchart area of opportunity attributes control charts Average and Range Average and Sigma best flowchart central tendency Chapter common cause variation computed concept construct control chart factors control chart patterns Cp and Cpk Cpk value customer requirement Design of Experiments determine example Fishbone diagram fractional factorial full factorial experiment Individuals and Range inherent capability Level 1 Level lower control limits mathematical Median and Range nonconforming normal curve np chart number of defects occur output Pareto analysis Pareto diagram Pareto Principle percent Philip Crosby problem process capability indices process checklist process improvement initiative process width product or service random numbers Range chart run chart shown in Figure shown in Table Sigma chart special cause variation specification width standard deviations statistical process control subgroup sizes Taguchi techniques total number upper and lower variables control charts X-bar and R-chart Z-test Zone