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"Praise for the Second Edition"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."-TechnometricsThis new edition continues to provide the most current, proven statistical methods for quality control and quality improvementThe 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(r) 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"-- Provided by publisher. "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."

"Kualitas menjadi salah satu faktor penting penentu keberhasilan diterimanya suatu produk oleh konsumen hingga menciptakan kepuasan konsumen. Kualitas produk yang dihasilkan sangat dipengaruhi oleh proses produksi yang dijalankan. Pada penelitian ini, dilakukan pengontrolan kualitas pada lini produksi plastic painting di salah satu perusahaan otomotif terkemuka di Indonesia untuk mengetahui penyebab sering terjadinya produk cacat. Multivariate control chart digunakan dalam penelitian ini untuk memantau dan menganalisis lini produksi yang melibatkan sejumlah karakteristik kualitas yang saling berkorelasi tersebut. Penggunaan metode ini dikarenakan pengendalian kualitas dengan univariate control chart yang umum digunakan hanya dapat menganalisis proses produksi dengan satu variabel kontrol. Metode ini kemudian menghasilkan beberapa pengamatan yang berada di luar kendali proses. Hasil analisis menunjukkan bahwa beberapa jenis-jenis cacat produk yang memberikan nilai kontribusi relatif terbesar pada sinyal di luar kendali proses adalah runs, buffing, dan gores dasar.

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Quality is one of the important factors to determine the success of product acceptance by consumer to get their satisfaction. Product quality is strongly influenced by the executed production process. In this study, the quality control is carried out on production line of plastic painting in one of the leading automotive company in Indonesia to find out the mistakes led to the frequent occurrence of defective products. Multivariate control charts are used in this case to monitor and analyze production line involving a number of quality characteristics that are correlated with each other.

This method is applied in this study because quality control using univariate control chart commonly used is only be able to analyze the production process with only a control variable. This method generates a few observations that are beyond the process control. The analysis showed that some types of product defects that give the largest relative contribution to the signal beyond the process control are runs, sanding, and basic scratch."

"CD-ROM includes: 4 Excel based programs that accompany the text. The programs are: Random Number Generator, Z-test, X-bar & R chart, and P chart"