Statistical Quality Technologies
Theory and Practice
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.
| ISBN: | 9783030207113 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 402 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Chen, Ding-Geng Lio, Yuhlong Ng, Hon Keung Tony Tsai, Tzong-Ru |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 23.08.2020 |
| Untertitel: | Theory and Practice |
| Schlagworte: | Acceptance Sampling Plans Average Run Length Cumulative Sum Chart Degradation Data Analysis Economical Sampling Plans Exponentially Weighted Moving Average Control Chart Industrial Statistics Nonparametric Control Chart Statistical Process Control Statistical System Monitoring (SSM) |
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