Statistical Process Control In Manufacturing
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Statistical Process Control in Industry
One of the central elements of total quality management is statistical process control (SPC). This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The Dutch authors, two from academia and one from industry, discuss an activity plan for achieving statistically controlled processes, statistical tools, and consolidation and improvement of the results. An extensive checklist helps determine to what extent a business has succeeded. Originally published as Statistische Procesbeheersing in Bedriif in 1996 by Kluwer. Annotation copyrighted by Book News, Inc., Portland, OR
Statistical Process Control in Industry
Author: R.J. Does
language: en
Publisher: Springer Science & Business
Release Date: 1999-01-31
During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.
Statistical Process Control in Manufacturing Practice
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.