Statistical quality control for manufacturing managers
Provides the methods and tools for the manufacturing manager to improve quality, increase productivity, and enhance the competitive position of the manufacturing line. Proposes potentially controversial methods of performance appraisals, operation certification, line qualification, vendor certification, and just-in-time manufacturing. The organization of this book takes the reader logically from the basics of statistics through the fundamentals of statistical quality control, to the manufacturing applications and accompanying manufacturing strategies of statistical quality control (SQC). This book is the first written specifically for manufacturing management. Examples throughout the book demonstrate how the manufacturing manager can successfully implement SQC in the manufacturing process. Real-life manufacturing situations described illustrate situations managers are likely to find in their own line.
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acceptance number acceptance sampling boxplot calculated cause-and-effect diagram Chapter confidence interval control chart control limits Copyright cost critical region CTO'O CUSUM data set defective level defined determine double-sampling plan equation estimate evaluate example gap width given in Table histogram Juran KO'O loss function M.M M.M manufac manufacturing line manufacturing manager chooses manufacturing manager wants manufacturing process mean method MIL-STD MO'O normal distribution normal inspection null hypothesis number of nonconformities o.ox o.x o.x o.x OC curves OCO'O OOO'O OOO'O OOO'O operators OTO'O parameters percent defective probability distribution problems process average process capability index rational subgroup reduced inspection reject Reprinted by permission sample size scatter diagram Shewhart single-sampling plan Society for Quality solder specification standard deviation statistical control Statistical Quality Control stem-and-leaf display test statistic tightened inspection tion TOO'O TOO'O TOO'O TTO'O two-sided UO'O variables sampling plans variance vendor