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In the last decade Statistical Process Control (SPC) methods have been employed as key determinants of quality assessment from both a management and a shop floor perspective. It has been found to be an excellent tool for streamlining a process to save time and money while producing a quality product. This text gives a firm foundation in the mathematical and statistical basis for SPC, whilst at the same time addressing the practical needs of both professionals and students. It covers the basics of SPC from a statistical/mathematical perspective and translates these concepts into real world applications. It also addresses cutting-edge technologies and how SPC fits into the manufacturing process to improve quality.Nota de la solapa:
In the 1920s and 30s, Walter Shewhart of Bell Telephone Laboratories developed Statistical Process Control (SPC) as a means of analyzing manufacturing processes at the shop-floor level. Shewhart and his disciplesmost notably W. Edwards Deming, father of total quality managementrealized that SPC provided a sophisticated tool for assessing and improving quality at all levels. SPC, therefore, was the backbone of the quality management, revolution of the 1980s and 90s. Yet, until now, there was no comprehensive, practical guide to SPC methods for engineers and managers working in manufacturing. SPC Methods for Quality Improvement fills that vacuum with complete coverage of SPC concepts, tools, and techniques geared to the practical concerns of manufacturing professionals. Dr. Charles Quesenberry introduces all statistical/mathematical essentials and carefully explains the rationale behind each concept. He employs vivid case studies to show how these concepts translate into real-world applications. Using examples drawn from a broad array of industriesfrom semiconductors to food processing, biomedical engineering to educationhe deftly illustrates how SPC methods can streamline the manufacturing process and improve product quality. SPC Methods for Quality Improvement provides detailed, step-by-step guidance on the uses of both classical and second-generation SPC methods. Among cutting-edge methods described are those for charting processes without prior data, charting processes from start-up, and charting short runs with known false alarm rates. Readers also learn methods for studying the form of a reference distribution; how to use transformations to Q-statistics for various models; how to treat data from skewed distributions; and new ways of treating regression, multivariate, and autocorrelated data. An excellent text/primer for students and those new to SPC. SPC Methods for Quality Improvement is also a valuable guide for industrial and production engineers and managers who wish to improve existing SPC systems or to introduce SPC methods into industries where they were once inapplicable.
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Descripción Wiley, 1997. Hardcover. Condición: New. Never used!. Nº de ref. del artículo: P110471130877
Descripción Wiley, 1997. Condición: New. book. Nº de ref. del artículo: M0471130877