高品質プロセスのための統計モデルと管理図<br>Statistical Models and Control Charts for High Quality Processes

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高品質プロセスのための統計モデルと管理図
Statistical Models and Control Charts for High Quality Processes

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  • 製本 Hardcover:ハードカバー版／ページ数 296 p.
  • 言語 ENG
  • 商品コード 9781402070747
  • DDC分類 658.562

基本説明

Extensions of the CCC (counting of the cumulative conforming) chart are described, as well as applications of cumulative sum and exponentially weighted moving average techniques to CCC-related data.

Full Description

Control charts are widely used in industry to monitor processes that are far from Zero-Defect (ZD), and their use in a near Zero-Defect manufacturing environment poses many problems. This book presents techniques of using control charts for high-quality processes, and some recent findings and applications of statistical control chart techniques for ZD processes are presented.

A powerful technique based on counting of the cumulative conforming (CCC) items between two nonconforming ones is discussed in detail. Extensions of the CCC chart are described, as well as applications of cumulative sum and exponentially weighted moving average techniques to CCC-related data, multivariate methods, economic design of control chart procedures, and modeling and analysis of trended but regularly adjusted processes.

Many examples, charts, and procedures, are presented throughout the book, and references are provided for those interested in exploring the details. A number of questions and issues are posed for further investigations. Researchers and students may find many ideas in this book useful in their academic work, as a foundation is laid for the exploration of many further theoretical and practical issues.

Contents

Control Charts with Probability Limits.- Cumulative Count of Conforming (CCC) Chart.- Process Improvement Detection.- Modified Implementation of Geometric Chart.- Some Extensions to the Geometric Model.- CUSUM and EWMA Procedures.- Monitoring of Multiple Process Characteristics.- Economic Design of Geometric Chart.- Monitoring and Adjustment of Trended Processes.