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Author : Acheson Johnston Duncan
Publisher :
ISBN 13 :
Total Pages : 1080 pages
Book Rating : 4.52/5 ( download)
Download or read book Quality Control and Industrial Statistics written by Acheson Johnston Duncan and published by . This book was released on 1974 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Acheson J. Duncan
Publisher :
ISBN 13 :
Total Pages : 992 pages
Book Rating : 4.33/5 ( download)
Download or read book Quality control and industrial statistics written by Acheson J. Duncan and published by . This book was released on 1967 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : A.J. Duncan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.29/5 ( download)
Download or read book Quality Control and Industrial Statistics written by A.J. Duncan and published by . This book was released on 1955 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Christina M. Mastrangelo
Publisher : Wiley
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.27/5 ( download)
Download or read book Introduction to Statistical Quality Control written by Christina M. Mastrangelo and published by Wiley. This book was released on 1991 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Edward G. Schilling
Publisher : CRC Press
ISBN 13 : 1351647075
Total Pages : 761 pages
Book Rating : 4.76/5 ( download)
Download or read book Acceptance Sampling in Quality Control written by Edward G. Schilling and published by CRC Press. This book was released on 2017-06-01 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acceptance Sampling in Quality Control, Third Edition presents the state of the art in the methodology of sampling while integrating both theory and best practices. It discusses various standards, including those from the ISO, MIL-STD and ASTM and explores how to set quality levels. The book also includes problems at the end of each chapter with solutions. This edition improves upon the previous editions especially in the areas of software applications and compliance sampling plans. New to the Third Edition: Numerous Microsoft Excel templates to address sampling plans are used. Commercial software applications are discussed at the end of many chapters. Discussion of quick switching systems has been expanded to account for the considerable recent activity in this area. Added discussion of zero acceptance number chained quick switching systems.
Author : Acheson J. Duncan
Publisher :
ISBN 13 :
Total Pages : 946 pages
Book Rating : 4.87/5 ( download)
Download or read book Quality Control and Industrial Statistics written by Acheson J. Duncan and published by . This book was released on 1962 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 1119657113
Total Pages : 773 pages
Book Rating : 4.18/5 ( download)
Download or read book Introduction to Statistical Quality Control written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2019-12-30 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Author : Edgar Santos-Fernández
Publisher : Springer Science & Business Media
ISBN 13 : 1461454522
Total Pages : 134 pages
Book Rating : 4.26/5 ( download)
Download or read book Multivariate Statistical Quality Control Using R written by Edgar Santos-Fernández and published by Springer Science & Business Media. This book was released on 2012-09-22 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
Author : Anand M. Joglekar
Publisher : John Wiley & Sons
ISBN 13 : 0470584122
Total Pages : 283 pages
Book Rating : 4.25/5 ( download)
Download or read book Industrial Statistics written by Anand M. Joglekar and published by John Wiley & Sons. This book was released on 2010-04-30 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics.
Author : Theodore T. Allen
Publisher : Springer Science & Business Media
ISBN 13 : 1849960003
Total Pages : 573 pages
Book Rating : 4.07/5 ( download)
Download or read book Introduction to Engineering Statistics and Lean Sigma written by Theodore T. Allen and published by Springer Science & Business Media. This book was released on 2010-04-23 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.
