Statistical Process Monitoring and Optimization

by Geoffrey Vining (Editor)

Overview

Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range o

Product Details

ISBN-13:	9781040214671
Publisher:	CRC Press
Publication date:	11/24/1999
Series:	Statistics: A Series of Textbooks and Monographs
Sold by:	Barnes & Noble
Format:	eBook
Pages:	504
File size:	9 MB

Table of Contents

Basic concepts of fluid mechanics; fluid statics; equations of fluid motion; flow in pipes; flow in open channels; flow measurement in closed conduits; forces on immersed objects; unsteady flow. Appendices: coversation factors; pipe schedules; properties of areas, pipes and tubing; fluid properties.

Editorial Reviews

Contributors from 15 countries provide information on recent developments in statistical process monitoring and optimization. They cover topics in statistical reasoning in quality management, control charts, multivariate process monitoring, design of experiments, and empirical model building for process optimization. For engineers and researchers who want to use advanced statistical methods for process monitoring and optimization to improve quality and productivity in industry. Also of interest to managers, quality specialists, and statisticians. Park teaches computer science and statistics at Seoul National University, South Korea. Vining teaches statistics at the Virginia Polytechnic Institute and State University. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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