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This useful guide establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes;emphasizing the importance of understanding and reducing process variation to achieve world-class manufacturing performance. Presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing! Designed to assist manufacturing organizations in explaining and implementing successful SPC programs, Statistical Process Control in Manufacturing Practice covers the basic principles of SPC and how they are used as preventative devices in actual manufacturing situations shows how to measure variations in manufacturing processes, exploring how measurements are used to interpret and optimize process performance details the customizing of SPC applications to specific situations while maintaining the efficacy of measurement methods under all conditions delineates the significance of monitoring and measuring administrative activities elucidates customer-supplier relationships dealing with quality issues and continuous process improvement programs addresses the challenge of standardizing technical specifications to avoid mistakes and defective products and more! Complete with bibliographic citations, equations, and drawings, this practical reference is a valuable resource for quality, reliability, manufacturing, quality control and assurance, mechanical, industrial, design, and systems engineers; industrial and applied statisticians; and upper-level undergraduate and graduate students in these disciplines.