Statistical Process Control in Automated Manufacturing

Statistical Process Control in Automated Manufacturing
Author: Bert Keats
Publisher: CRC Press
Total Pages: 317
Release: 2020-11-26
Genre: Business & Economics
ISBN: 1000147150

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

Statistical Process Control in Automated Manufacturing

Statistical Process Control in Automated Manufacturing
Author: Bert Keats
Publisher: CRC Press
Total Pages: 313
Release: 2020-11-25
Genre: Science
ISBN: 1000103722

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.

Practical Statistical Process Control

Practical Statistical Process Control
Author: Colin Hardwick
Publisher: CreateSpace
Total Pages: 34
Release: 2014-10-22
Genre:
ISBN: 9781502945297

The tools and technique used in Statistical Process Control have been used around the world to monitor and measure process variation and allow real positive changes to be made. The majority of engineers and scientists have had some exposure to this important technique but in many cases this has been badly taught and they fail to see the usefulness of it properly applied. This book has been written with the authors 30 years experience in practical Statistical Process Control and is aimed squarely at practising engineers and scientists rather than statisticians and mathematicians. Practical Statistical Process Control takes a graphical approach using a software tool called Minitab. The author concentrates on each step of using the technique with explanations along the way of each decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and clear precise explanations. The emphasis is on understanding the technique and being able to use it in real world applications. Key points: * Provides tools and techniques for practical business and process improvement. * Introduces screenshots and explanations for each step of SPC including the importance of assessing the measurement system and constructing control charts. * A worked example, using Minitab sample data with clear explanations of the variables and analyses. This book will be extremely useful to engineers and scientists who want to solve quality, process and manufacturing problems quickly and easily.

Statistical Process Control for Real-World Applications

Statistical Process Control for Real-World Applications
Author: William A. Levinson
Publisher: CRC Press
Total Pages: 272
Release: 2010-12-21
Genre: Business & Economics
ISBN: 1439820015

The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically and explain the methodology to suppliers and custom

Statistical Process Control in Manufacturing Practice

Statistical Process Control in Manufacturing Practice
Author: Fred W. Kear
Publisher: CRC Press
Total Pages: 239
Release: 2020-11-25
Genre: Science
ISBN: 100011015X

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.

Statistical Process Control for Managers, Second Edition

Statistical Process Control for Managers, Second Edition
Author: Victor E. Sower
Publisher: Business Expert Press
Total Pages: 142
Release: 2017-09-21
Genre: Business & Economics
ISBN: 1947098799

If you have been frustrated by very technical statistical process control (SPC) training materials, then this is the book for you. This book focuses on how SPC works and why managers should consider using it in their operations. It provides you with a conceptual understanding of SPC so that appropriate decisions can be made about the benefits of incorporating SPC into the process management and quality improvement processes. Today there is little need to make the necessary calculations by hand, so the author utilizes Minitab and NWA Quality Analyst—two of the most popular statistical analysis software packages on the market. Links are provided to the home pages of these software packages where trial versions may be downloaded for evaluation and trial use. The book also addresses the question of why SPC should be considered for use, the process of implementing SPC, how to incorporate SPC into problem identification, problem solving, and the management and improvement of processes, products, and services.

Statistical Process Control

Statistical Process Control
Author: John S. Oakland
Publisher: Routledge
Total Pages: 474
Release: 2008
Genre: Business & Economics
ISBN: 0750669624

Statistical process control is a tool which enables both manufacturers and suppliers to achieve control of product quality by applying statistical methods to controlling processes. This guide provides an introduction to the concept.

Statistical Process Control

Statistical Process Control
Author: Robert James Oakland
Publisher: Routledge
Total Pages: 430
Release: 2018-10-08
Genre: Business & Economics
ISBN: 1351662686

The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control – a practical guide in the mid-eighties. Then people were rediscovering statistical methods of ‘quality control’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘took kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a ‘took kit’ and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive and latest consulting work within thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques.