Mastering Statistical Process Control


Book Description

Mastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down with control charts, forgetting that visual representation of data is but a tool and not an end in itself. Mastering SPC demonstrates how statistical tools are applied and used in reality. This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in a wide range of engineering, production and service situations. Key case studies include using SPC to: · Measure quality and human factors · Monitor process performance accurately over long periods · Develop best-practice benchmarks using control charts · Maximise profitability of fixed assets · Improve customer service and satisfaction




Process Control


Book Description

What are the business goals statistical quality control statistical process control is aiming to achieve? Does Advanced Process Control create potential expectations in other areas that need to be recognized and considered? What are the top 3 things at the forefront of our Process control agendas for the next 3 years? Are there Advanced Process Control problems defined? How can you measure Advanced Process Control in a systematic way? This best-selling Process control self-assessment will make you the assured Process control domain leader by revealing just what you need to know to be fluent and ready for any Process control challenge. How do I reduce the effort in the Process control work to be done to get problems solved? How can I ensure that plans of action include every Process control task and that every Process control outcome is in place? How will I save time investigating strategic and tactical options and ensuring Process control opportunity costs are low? How can I deliver tailored Process control advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Process control essentials are covered, from every angle: the Process control self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Process control outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Process control practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Process control are maximized with professional results. Your purchase includes access to the $249 value Process control self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.




Statistical Quality Control


Book Description

STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.




Statistical Process Control For Quality Improvement


Book Description

With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control – and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.




Statistical Methods for Quality Improvement


Book Description

Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." —Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.




Mastering Brewing Science


Book Description

With a focus on brewing science and quality control, this textbook is the ideal learning tool for working professionals or aspiring students. Mastering Brewing Science is a comprehensive textbook for the brewing industry, with coverage of processes, raw materials, packaging, and everything in between, including discussion of essential methods in quality control and assurance. The book equips readers with a depth of understanding to deal with problems and issues that arise during production of beer from start to finish, as well as statistical tools for continual quality improvement. Brewery operations, raw material analysis, flavor, stability, cleaning, and methods of quality control, as well as the underlying science, are discussed in detail. The successful brewing professional must produce beer with high standards of quality, consistency, efficiency, and safety. With a focus on quality and on essential applications of biology, chemistry, and process control, Mastering Brewing Science emphasizes development of the reader's trouble-shooting and problem-solving skills. It is the ideal learning tool for all brewing programs or as a resource for current industry professionals. Features of this book include: Comprehensive understanding through application. Presented in the logical order of the brewing process. All key principles of science are applied to beer production, facilitating a better understanding of both. Check for understanding and problem solving. Each chapter includes a set of problems, questions, and case studies that reinforce understanding of the material. Richly illustrated. Hundreds of unique, full-color illustrations, ranging from micrographs of spoilage bacteria to the inner workings of a beer keg, supplement clearly-written text, making this book easy to understand and appealing to the reader. Emphasis on Quality and Safety. Covers the underlying science and essential methods in quality control with discussion of data management and experimental statistics to ensure consistency in beer production. Safety notes for brewing operations prepare the reader for a culture of safety at the workplace. Glossary. A detailed and authoritative glossary sets the standard for beer and brewing terminology.




Statistical Process Control in Industry


Book Description

During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.




Basic Statistical Tools for Improving Quality


Book Description

This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple, non-math manner, and (2) the methods can be learned and practiced in an uncomplicated fashion using free software (eZ SPC 2.0), which is available to all readers online as a downloadable product. The book explains QC7 Tools, control charts, and statistical analysis including basic design of experiments. Theoretical explanations of the analytical methods are avoided; instead, results are interpreted through the use of the software.




Statistical Process Control


Book Description

This in-depth introduction to SPC examines the technical aspects of the practices and procedures that are used to apply the quality management system in manufacturing. As in the successful first edition, the author provides a description and history of SPC along with an analysis of how it is applied to control quality costs, productivity, product improvement, and work efficiency. New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.




Statistical Quality Control Using Excel


Book Description

Would you like to learn more about using Excele? Are looking for an easier way to solve statistical quality control problems? Statistical Quality Control (SQC) experts Steven Zimmerman and Marjorie Icenogle have updated their guide that combines the power of each into this one integrated book and CD-Rom. While this introduction to SQC is for beginners to either quality or to the software product Excel, those with a more advanced knowledge of SQC and Excel will also find this book valuable to incorporate the two. New versions of Excel make creating quality control spreadsheets easier than ever. This new edition contains spreadsheets for: exponential weighted moving average charts, moving sum of the sample statistic control charts, cumulative sum charts, reliability problems, and information on using the Pivot Table and Pivot Chart functions in Excel. This guide begins with introductions to the concepts of SQC and the use of spreadsheets. a review of Exceles features is followed by explanations of statistical distribution, outliers, and the analysis required for SQC methods. Basic statistical process control methods such as p and np control charts, c and u control charts, and Pareto charts are demonstrated. Descriptions on acceptance sampling methods including binomial and hypergeometric distributions and average outgoing quality curves are also offered. Also new to this package is direction on using Excel in power point presentations. Practice problems, definitions of key terms, detailed graphics, and end-of-chapter summaries help make this book an outstanding tool to combine SQC with Excel software.