Tools and Methods for the Improvement of Quality
Based on Dr. W. Edwards Deming's philosophy for the improvement of quality, productivity, and competitive position, this book is perfect for production, management science, statistics, and industrial engineering professionals. The book features enumerative and analytical statistical studies, showing the difference between fixed populations and processes; methods for improving a stable process with a known capability; techniques for analyzing and interpreting control chart patterns; and modern inspection policies, specifically Deming's kp rules, instead of traditional sampling plans. It also includes quality improvement stories, examples, and mini-case studies that convert complex topics into easy-to-understand material.
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Fundamentals of Statistical Studies
Documenting and Defining a Process
Diagnosing a Process
Process Capability and Improvement Studies
Dealings 14 Points and the Reduction of Variation 533
Some Current Thinking about Statistical Studies and Practice
analytic study area of opportunity attribute control charts binomial binomial distribution calculated Cause-and-Effect diagram causes of variation centerline check sheet computed construct cost create cumulative frequency customer needs data points defective cards defective items determine Edwards Deming employees Equation estimate example fraction defective frequency distribution individuals charts lack of control lower control limits mean median moving range natural limits needs and process never-ending improvement nonconforming normally distributed np chart number of defects number of items operator 004 parameter Pareto diagram patterns PDCA PDCA cycle Poisson distribution probability distribution problem process capability studies process control process improvement process performance process variables QI story random variable range portion rule sampling distribution shown in Figure sources of variation special causes special sources special variation specification limits stable process standard deviation standard error statistical control Statistical Process Control statistician tion types variables control charts vendor x-bar chart zone boundaries