Statistical Process Control Demystified

Statistical Process Control Demystified
Author: Paul A. Keller
Publisher: McGraw Hill Professional
Total Pages: 319
Release: 2011-06-05
Genre: Business & Economics
ISBN: 0071742506

INCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.

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

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.

SPC Simplified

SPC Simplified
Author: Robert T. Amsden
Publisher: Unipub
Total Pages: 288
Release: 1986
Genre: Quality control
ISBN:

Written in clear language, this hands-on manual simplifies the essentials for monitoring, analyzing, and improving quality. The authors explain how to set up and use variable and attribute control charts, as well as analyze frequency histograms, and evaluate machine and process capability.

Introduction to Statistical Quality Control

Introduction to Statistical Quality Control
Author: Christina M. Mastrangelo
Publisher: Wiley
Total Pages: 244
Release: 1991
Genre: Business & Economics
ISBN:

Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.

Statistical Method from the Viewpoint of Quality Control

Statistical Method from the Viewpoint of Quality Control
Author: Walter Andrew Shewhart
Publisher: Courier Corporation
Total Pages: 218
Release: 1986-01-01
Genre: Mathematics
ISBN: 9780486652320

Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. Topics include statistical control, establishing limits of variability, measurements of physical properties and constants, and specification of accuracy and precision. First inexpensive paperback edition.

Minitab Demystified

Minitab Demystified
Author: Andrew Sleeper
Publisher: McGraw Hill Professional
Total Pages: 576
Release: 2011-08-22
Genre: Business & Economics
ISBN: 0071762302

Need to learn Minitab? Problem Solved! Get started using Minitab right way with help from this hands-on guide. Minitab Demystified walks you through essential Minitab features and shows you how to apply them to solve statistical analysis problems. Featuring coverage of Minitab 16, this practical guide explores the Minitab interface and the full range of Minitab graphics, Distribution models, statistical intervals, hypothesis testing, and sample size calculations are clearly explained. The book covers modeling tools of regression and the design of experiments (DOE) as well as the industrial quality tools of measurement systems analysis, control charts, capability analysis, acceptance sampling, and reliability analysis. Detailed examples and concise explanations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Accessing powerful Minitab functions with the Minitab assistant Confidence, prediction, and tolerance intervals Designing and analyzing experiments with hard-to-change variables Statistical process control (SPC), Six Sigma applications, and quality control Predicting the economic impact of sampling Analyzing life data with additional variables Simple enough for a beginner, challenging enough for an advanced student, and thorough enough for a Six Sigma professional, Minitab Demystified is your shortcut to statistical analysis success!

SPC Simplified Workbook

SPC Simplified Workbook
Author: Robert T. Amsden
Publisher: Productivity Press
Total Pages: 420
Release: 1998-04-27
Genre: Business & Economics
ISBN: 9780527763411

The Workbook, when used with SPC Simplified, is ideal for self-study, in-house training, or classroom instructions. As you work with and apply the SPC tools presented in SPC Simplified, the Workbook enhances problem-solving abilities. The SPC Simplified Workbook provides: Review questions designed to provide overall review and reinforcement of basic principles. Exercises that help you practice and apply the basics Case studies that reflect actual problems and engage you in successfully implementing tools and techniques of SPC.

Statistical Process Control for Small Batch Production

Statistical Process Control for Small Batch Production
Author: Paul Allen
Publisher:
Total Pages: 76
Release: 2020-07-27
Genre:
ISBN: 9781716714443

Statistical Process Control has been the World Class way to run production processes for 100 years. Now that most volume manufacturing has moved to lost cost countries Western manufacturing is left with Low Volume high value products. How can Statistical Process Control still function and flourish in these small batch production Businesses? In fact the answer is how can you possibly run in a small batch environment without Statistical Process Control?