Statistical Quality Control for Manufacturing Managers
Statistical Quality Control for Manufacturing Managers

Author: William S. Messina

Publisher: Wiley-Interscience

Published: 1987-08-02

Total Pages: 360

ISBN-13:

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Provides the methods and tools for the manufacturing manager to improve quality, increase productivity, and enhance the competitive position of the manufacturing line. Proposes potentially controversial methods of performance appraisals, operation certification, line qualification, vendor certification, and just-in-time manufacturing. The organization of this book takes the reader logically from the basics of statistics through the fundamentals of statistical quality control, to the manufacturing applications and accompanying manufacturing strategies of statistical quality control (SQC). This book is the first written specifically for manufacturing management. Examples throughout the book demonstrate how the manufacturing manager can successfully implement SQC in the manufacturing process. Real-life manufacturing situations described illustrate situations managers are likely to find in their own line.

Encyclopedia of Production and Manufacturing Management
Encyclopedia of Production and Manufacturing Management

Author: Paul M. Swamidass

Publisher: Springer Nature

Published: 2006-09-21

Total Pages: 1012

ISBN-13: 1402006128

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The Encyclopedia of Production and Manufacturing Management is an encyclopedia that has been developed to serve this field as the fundamental reference work. Over the past twenty years, the field of production and operations management has grown more rapidly than ever and consequently its boundaries have been stretched in all directions. For example, in the last two decades, production and manufacturing management absorbed in rapid succession several new production management concepts: manufacturing strategy, focused factory, just-in-time manufacturing, concurrent engineering, total quality management, supply chain management, flexible manufacturing systems, lean production, and mass customization, to name a few. This explosive growth makes the need for this volume abundantly clear. The manufacturing industry thinks and acts more broadly than it did several decades ago. The most notable change has been the need for manufacturing managers to think in technological, strategic and competitive terms. This is a very favorable development, and it leads to manufacturing success. The entries in this encyclopedia include the most recent technical and strategic innovations in production and manufacturing management. The encyclopedia consists of articles of varying lengths. The longer articles on important concepts and practices range from five to fifteen pages. There are about 100 such articles written by nearly 100 authors from around the world. In addition, there are over 1000 shorter entries on concepts, practices and principles. The range of topics and depth of coverage is intended to suit both student and professional audiences. The shorter entries provide digests of unfamiliar and complicated subjects. Difficult subjects are made intelligible to the reader without oversimplification. The strategic and technological perspectives on various topics give this Encyclopedia its distinctiveness and uniqueness. The world of manufacturing today is increasingly competitive. It is apparent that manufacturers must respond to these competitive pressures with technical and strategic innovation. This encyclopedia has been developed to help researchers, students and those in the manufacturing industry to understand and implement these ongoing changes in the field.

Statistical Process Control For Quality Improvement
Statistical Process Control For Quality Improvement

Author: James Evans

Publisher: Pearson Education

Published: 1991-03-29

Total Pages: 231

ISBN-13: 0132442019

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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 Process Control in Manufacturing Practice
Statistical Process Control in Manufacturing Practice

Author: Fred W. Kear

Publisher: CRC Press

Published: 2020-11-25

Total Pages: 239

ISBN-13: 100011015X

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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 Real-World Applications
Statistical Process Control for Real-World Applications

Author: William A. Levinson

Publisher: CRC Press

Published: 2010-12-21

Total Pages: 272

ISBN-13: 1439820015

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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 Methods for Testing, Development, and Manufacturing
Statistical Methods for Testing, Development, and Manufacturing

Author: Forrest W. Breyfogle, III

Publisher: John Wiley & Sons

Published: 1992-04-16

Total Pages: 556

ISBN-13: 9780471540359

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Clearly illustrates how established techniques can be easily understood and used with a sample size that is smaller than normally envisioned. Provides solutions to complex industrial problems by demonstrating how to define the problem and evaluate it statistically with the aim of accelerating product design testing that requires fewer samples and offers more information with less test effort. Along with examples, it contains detailed additional material presented in tabular form for both easy reference and cross-reference.

Tool and Manufacturing Engineers Handbook: Quality Control and Assembly
Tool and Manufacturing Engineers Handbook: Quality Control and Assembly

Author: Thomas J. Drozda

Publisher: Society of Manufacturing Engineers

Published: 1983

Total Pages: 828

ISBN-13: 087263177X

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Quality Control and Assembly helps you meet today's competitive pressures for measuring quality, making continuous quality improvements, streamlining assembly, and making the transition to automated assembly systems and applications.

Tool and Manufacturing Engineers Handbook: Manufacturing Management
Tool and Manufacturing Engineers Handbook: Manufacturing Management

Author: Raymond F. Veilleux

Publisher: Society of Manufacturing Engineers

Published: 1988-12-12

Total Pages: 564

ISBN-13: 0872633063

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Engineers, corporate managers, project managers, and production managers will use Manufacturing Management to answer important planning questions, manage new systems and technologies, and to integrate design, engineering, and manufacturing to bring products to market faster at the most competitive cost. Volume 5 also helps you focus on management' s role in quality programs such as setting objectives, monitoring outcomes, and how to make continuous quality improvements while reducing quality costs.

40 Top Tools for Manufacturers
40 Top Tools for Manufacturers

Author: Walter J. Michalski

Publisher: CRC Press

Published: 2021-02-28

Total Pages: 160

ISBN-13: 1000658775

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We know how important it is for you to have the right tool when you need it. If you're a team leader or facilitator in a manufacturing environment, you've probably been searching a long time for a collection of implementation tools tailored specifically to your needs. Well, look no further. Based on the same principles used to develop Tool Navigator's Master Guide for Teams, here is a group of 40 dynamic tools to help you and your teams implement powerful manufacturing process improvement. This essential resource allows you and your teams to start and complete almost any manufacturing task. The book includes plenty of graphics, charts, illustrations and indexes to help you navigate your way through a problem solving process. In addition, the author gives you relevant background information and an overview of a tool's usage to assist your teams in the proper selection, sequencing, and application of major tools such as JIT, TPM, Process Mapping and Cycle Time Management. To help you and your teams select just the right tool for your problem solving or manufacturing process improvement activities, we've sorted and arranged them into four stages. The real power of this book is that if you use the tools, working your way through the stages, the end result is Customer Satisfaction! The four stages are: process; cycle time; variability; and problem solving. Unlike other tool guides, the Tool Navigator guides are more than just a book of dry definitions. It is a true navigator. Each guide features: Classification of each tool by process application. Description of various applications of the tool. Problem solving phases most applicable for the tool. Ranking of category or work discipline in which the tool is most used. Step-by-step procedures on how to use tool. Examples of the tool's output or result. Useful appendixes and statistical charts. Cross reference index to find tools in The Master Guide for Teams. Boxes that link to other tools in The Master Guide for Teams.

Statistical Methods for Six Sigma
Statistical Methods for Six Sigma

Author: Anand M. Joglekar

Publisher: John Wiley & Sons

Published: 2003-09-19

Total Pages: 339

ISBN-13: 0471465372

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A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisions Determine the amount of data to collect Compare product and process designs Build equations relating inputs and outputs Establish specifications and validate processes Reduce risk and cost-of-process control Quantify and reduce economic loss due to variability Estimate process capability and plan process improvements Identify key causes and their contributions to variability Analyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject.