The Use of Statistical Quality Improvement Methods in Automotive Body Manufacturing PDF Download
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Author: Chi-Yueh Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 344
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Book Description
Author: Chi-Yueh Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 344
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Book Description
Author: Stephen B. Vardeman
Publisher: Springer
ISBN: 038779106X
Category : Mathematics
Languages : en
Pages : 447
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Book Description
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 872
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Book Description
Author: Patrick C. Hammett
Publisher:
ISBN:
Category :
Languages : en
Pages : 386
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Book Description
Author: Amasaka, Kakuro
Publisher: IGI Global
ISBN: 1799887480
Category : Business & Economics
Languages : en
Pages : 518
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Book Description
Industries have had to quickly and continuously adjust their strategies in recent years to remain relevant and desirable. The automotive industry in particular has grown exponentially since its inception. In order for this industry to evolve with the changing times and appropriately utilize emerging technologies, further study on the new models and practices within the manufacturing process is required. Examining a New Automobile Global Manufacturing System considers emerging automobile manufacturing practices for the strengthening of automobile corporate management in advanced companies and discusses key changes within corporate management strategies and management technology for the automotive industry. Covering a range of critical topics such as production systems, teaching strategies, and design models, this reference work is ideal for manufacturers, managers, researchers, scholars, practitioners, academicians, instructors, and students.
Author:
Publisher: 社団法人自動車技術会(JSAE)
ISBN:
Category :
Languages : en
Pages : 29
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Book Description
Author: Bert Keats
Publisher: CRC Press
ISBN: 1000147150
Category : Business & Economics
Languages : en
Pages : 317
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Book Description
This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.
Author: Adrian E. Raftery
Publisher: CRC Press
ISBN: 1420035398
Category : Mathematics
Languages : en
Pages : 571
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Book Description
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.
Author: Lenka Štofová
Publisher: CRC Press
ISBN: 135167272X
Category : Business & Economics
Languages : en
Pages : 582
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Book Description
Dynamic economics, technological changes, increasing pressure from competition and customers to improve manufacturing and services are some of the major challenges to enterprises these days. New ways of improving organizational activities and management processes have to be created, in order to allow enterprises to manage the seemingly intensifying competitive markets successfully. Enterprises apply business optimizing solutions to meet new challenges and conditions. But also ensuring effective development for long-term competitiveness in a global environment. This is necessary for the application of qualitative changes in the industrial policy. “New Trends in Process Control and Production Management” (MTS 2017) is the collection of research papers from authors from seven countries around the world. They present case studies and empirical research which illustrates the progressive trends in business process management and the drive to achieve enterprise development and sustainability.
Author: Kai Yang
Publisher: McGraw Hill Professional
ISBN: 0071432086
Category : Technology & Engineering
Languages : en
Pages : 319
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Book Description
Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods
