This work explains the mysteries and intricacies of statistical process control, the set of tools that are a vital part of total quality management. It shows how to summarize data, sample, use graphics, evaluate a process statistically, predict important process characteristics, use calculators and computers in an SPC programme, and speak statistics with meaning and without jargon.
Sprache
Verlagsort
Verlagsgruppe
Pearson Education Limited
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 248 mm
Breite: 197 mm
Gewicht
ISBN-13
978-0-201-56366-5 (9780201563665)
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Schweitzer Klassifikation
Part 1 Introduction: revolutions in quality, productivity and statistics; first, some major management chores; what is SPC?; what about acceptance sampling plans; who's afraid of statistics, anyway?. Part 2 Basic statistical concepts: a first look at data - the frequency histogram; population (process) vs. sample; nomenclature; kinds of samples; how to sample; some rules of probability; measures of central tendency - mean, median, mode; measures of variability - range, standard deviation; calculating formulas for sample standard deviation; estimating process standard deviation from ranges; coding and decoding data. Part 3 Key SPC tools: the normal distribution - serving as a process model; predicting for variables using the normal curve; predicting for attributes using confidence belts; introduction to Shewhart control charts; why control charts work; introduction to variables charts; how to interpret control charts; attributes control charts; other kinds of charts; process capability studies, strategies and indexes. Part 4 Implementing SPC: implementing a system of SPC; calculators and computers for SPC; training for SPC; learning to speak statistics; where do we go from here?; appendices.
