This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

Enriches understandings of the state-of-the-art statistical methodologies for quality control, acceptance sampling and reliability assessment Provides the background mathematical and statistical models and methods using simple and comprehensible terms with illustrative examples Features the latest development in statistical methods for quality technologies that aimed at bridging the theoretical methodology development with real world industrial applications

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