Statistical Process Control Demystified


Book Description

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.




Introduction to Statistical Quality Control


Book Description

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 Process Control


Book Description

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


Book Description

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.




Practical Statistical Process Control


Book Description

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 in Manufacturing Practice


Book Description

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 Method from the Viewpoint of Quality Control


Book Description

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


Book Description

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!




The Handbook for Quality Management, Second Edition


Book Description

The definitive guide to organizational excellence--completely updated Fully revised for the latest American Society for Quality (ASQ) Certified Manager of Quality/Organizational Excellence (CMQ/QE) Body of Knowledge, The Handbook for Quality Management: A Complete Guide to Operational Excellence, Second Edition offers in-depth guidance on effectively applying the principles of quality management in today's business environment and delivering superior results. Designed to help you prepare for and pass the ASQ CMQ/QE exam, this authoritative volume also serves as an essential on-the-job reference. Coverage includes: Business-integrated quality systems Organizational structures The quality function Approaches to quality Customer-focused organizations Integrated planning Strategic planning Understanding customer expectations and needs Benchmarking Organizational assessment Process control Quantifying process variation Quality audits Supply chain management Continuous improvement Effective change management Six Sigma methodology, including detailed descriptions of the DMAIC and DMADV approaches Management of human resources Motivation theories and principles Management styles Resource requirements to manage the quality function Over the past 40 years, the quality management discipline has undergone steady evolution from disparate quality assurance efforts to strategic, business-integrated functions. Today's quality manager must be able to plan and implement measurable, cost-effective process-improvement initiatives across the organization. Written by two of the foremost authorities on the subject and fully updated for the latest American Society for Quality (ASQ) Certified Manager of Quality/Organizational Excellence (CMQ/OE) Body of Knowledge, The Handbook for Quality Management, Second Edition provides an operational guide to the proper understanding and application of quality management in the current business environment. It serves as a primary reference source for an organization's quality program and for anyone seeking to pass the CMQ/OE exam, given by the ASQ. The Handbook for Quality Management: A Complete Guide to Operational Excellence, Second Edition: Clearly defines quality management principles and their application within a cross section of industries Integrates the application of Theory of Constraints, Six Sigma, and Lean thinking into the Quality Management discipline Contains detailed methods for planning, including customer needs recognition, benchmarking, and organizational assessments Discusses controls such as statistical process control, audits, and supply chain management Explains the stages of continuous improvement Incorporates classic motivation theory with more current management practices advocated by Joiner, Senge, and Deming, among others Features simulated and past exam questions to help you study for the ASQ CMQ/OE exam with answers that can be found at www.mhprofessional.com/HQM2