Statistical Quality Technologies Theory and Practice /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lio, Yuhlong (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ng, Hon Keung Tony (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tsai, Tzong-Ru (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chen, Ding-Geng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: ICSA Book Series in Statistics,
• Θέματα: Statistics .; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Business, Management, Economics, Finance, Insurance.
• Φυσική περιγραφή: XIX, 402 p. 59 illus., 34 illus. in color. online resource.
• ISBN: 9783030207090
• ISSN: 2199-0980
• DOI: 10.1007/978-3-030-20709-0

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.