Solutions Manual to accompany Fundamentals of Quality Control and Improvement, Solutions Manual: Edition 3

Sold by John Wiley & Sons
3
Free sample

A statistical approach to the principles of quality control and management

Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition bridges the gap between statistical quality control and quality management.

The book promotes a unique "do it right the first time" approach and focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. Further management-oriented topics of discussion include total quality management; quality function deployment; activity-basedcosting; balanced scorecard; benchmarking; failure mode and effects criticality analysis; quality auditing; vendor selection and certification; and the Six Sigma quality philosophy.

The Third Edition also features:

  • Presentation of acceptance sampling and reliability principles

  • Coverage of ISO 9000 standards

  • Profiles of past Malcolm Baldrige National Quality Award winners, which illustrate examples of best business practices

  • Strong emphasis on process control and identification of remedial actions

  • Integration of service sector examples

  • The implementation of MINITAB software in applications found throughout the book as well as in the additional data sets that are available via the related Web site

  • New and revised exercises at the end of most chapters

Complete with discussion questions and a summary of key terms in each chapter, Fundamentals of Quality Control and Improvement, Third Edition is an ideal book for courses in management, technology, and engineering at the undergraduate and graduate levels. It also serves as a valuable reference for practitioners and professionals who would like to extend their knowledge of the subject.

Read more
3.7
3 total
Loading...

Additional Information

Publisher
John Wiley & Sons
Read more
Published on
Jan 20, 2012
Read more
Pages
256
Read more
ISBN
9780470409824
Read more
Read more
Best For
Read more
Language
English
Read more
Genres
Business & Economics / Quality Control
Mathematics / Probability & Statistics / Stochastic Processes
Read more
Content Protection
This content is DRM protected.
Read more

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
Praise for the Second Edition

"As a comprehensive statistics reference book for qualityimprovement, it certainly is one of the best booksavailable."
—Technometrics

This new edition continues to provide the most current,proven statistical methods for quality control and qualityimprovement

The use of quantitative methods offers numerous benefits in thefields of industry and business, both through identifying existingtrouble spots and alerting management and technical personnel topotential problems. Statistical Methods for Quality Improvement,Third Edition guides readers through a broad range of tools andtechniques that make it possible to quickly identify and resolveboth current and potential trouble spots within almost anymanufacturing or nonmanufacturing process. The book providesdetailed coverage of the application of control charts, while alsoexploring critical topics such as regression, design ofexperiments, and Taguchi methods.

In this new edition, the author continues to explain how tocombine the many statistical methods explored in the book in orderto optimize quality control and improvement. The book has beenthoroughly revised and updated to reflect the latest research andpractices in statistical methods and quality control, and newfeatures include:

Updated coverage of control charts, with newly added toolsThe latest research on the monitoring of linear profiles andother types of profilesSections on generalized likelihood ratio charts and the effectsof parameter estimation on the properties of CUSUM and EWMAproceduresNew discussions on design of experiments that includeconditional effects and fraction of design space plotsNew material on Lean Six Sigma and Six Sigma programs andtraining

Incorporating the latest software applications, the author hasadded coverage on how to use Minitab software to obtain probabilitylimits for attribute charts. new exercises have been addedthroughout the book, allowing readers to put the latest statisticalmethods into practice. Updated references are also provided,shedding light on the current literature and providing resourcesfor further study of the topic.

Statistical Methods for Quality Improvement, ThirdEdition is an excellent book for courses on quality control anddesign of experiments at the upper-undergraduate and graduatelevels. the book also serves as a valuable reference for practicingstatisticians, engineers, and physical scientists interested instatistical quality improvement.

Praise for the Third Edition:

“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”

- Zentralblatt Math


Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and applications of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the new edition covers classical and modern response surface designs in order to present a clear connection between the designs and analyses in RSM.

With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition includes:

Many updates on topics such as optimal designs, optimization techniques, robust parameter design, methods for design evaluation, computer-generated designs, multiple response optimization, and non-normal responsesAdditional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with errorExpanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughoutAn extensive references section to help readers stay up-to-date with leading research in the field of RSM

An ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition is also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.

A statistical approach to the principles of quality control and management

Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, the timely new edition bridges the gap between statistical quality control and quality management.

Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The Fourth Edition of Fundamentals of Quality Control and Improvement also includes:

New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis Updated examples and exercises that enhance the readers’ understanding of the conceptsDiscussions on the integration of statistical concepts to decision making in the realm of quality assurance Additional concepts, tools, techniques, and issues in the field of health care and health care quality A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items

Fundamentals of Quality Control and Improvement, Fourth Edition is an ideal book for undergraduate and graduate-level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement.

A statistical approach to the principles of quality control and management

Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, the timely new edition bridges the gap between statistical quality control and quality management.

Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The Fourth Edition of Fundamentals of Quality Control and Improvement also includes:

New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis Updated examples and exercises that enhance the readers’ understanding of the conceptsDiscussions on the integration of statistical concepts to decision making in the realm of quality assurance Additional concepts, tools, techniques, and issues in the field of health care and health care quality A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items

Fundamentals of Quality Control and Improvement, Fourth Edition is an ideal book for undergraduate and graduate-level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement.

©2018 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google|Location: United StatesLanguage: English (United States)
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.