Statistical Process Control in Manufacturing Practice / Edition 1

by Fred W. Kear

Overview

Emphasizing the importance of understanding and reducing process variation to achieve quality manufacturing performance, this work establishes how statistical process control (SPC) provides powerful tools for measuring and regulating manufacturing processes. It presents information derived from time-tested applications of SPC techniques at on-site process situations in manufacturing. It is designed to assist manufacturing organizations in explaining and implementing successful SPC programmes.

Product Details

ISBN-13:	9780824701314
Publisher:	Taylor & Francis
Publication date:	09/10/1997
Series:	Manufacturing Engineering and Materials Processing , #51
Edition description:	New Edition
Pages:	240
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Fred W. Kear is a Consultant in Manufacturing Engineering, Albuquerque, New Mexico.

Table of Contents

The history and application of statistical process control; measuring manufacturing processes; characterization of manufacturing processes; key aspects of manufacturing process; planning the statistical process control management system; problem solving and corrective action; continuous process improvement; customer satisfaction issues and SPC; how to do statistical process control operations. Appendices: histogram construction; calculating process validation; constructing X-bar and R charts; calculating Cp; calculating Cpk; process metrics associations; determining the number of process opportunities for errors; design and experiment; conducting a problem solving team; constructing and using the frequency chart; glossary of terms; using flow-charts as a manufacturing tool; constructing and using the Pareto chart; using the fishbone diagram for brain storming; constructing and using attribute charts.

Editorial Reviews

Sets out the history and underlying philosophy of statistical process control, surveys the variations that happen in manufacturing processes, and shows how the technique can be used to measure the variations and optimize the process performance. Discusses planning the appropriate management system, problem solving and corrective action, continuous process improvement, and customer input and satisfaction. Appendices explain how to perform some of the operations described in the main text. Assumes a basic understanding of statistics. Includes a glossary without pronunciation. Annotation c. by Book News, Inc., Portland, Or.

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