Robust design for quality engineering and Six Sigma / by Sung H. Park, Jiju Antony.
نوع المادة : نصالناشر:Singapore ; Hackensack, NJ : World Scientific, [2008]تاريخ حقوق النشر: ©2008وصف:xi, 545 pages : illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9789812778673
- 9812778675
- TS156 .P286 2008
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | TS156 .P286 2008 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000017546 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
TS156 .N43 2009 إدارة الجودة المعاصرة : مقدمة في إدارة الجودة الشاملة للإنتاج و العمليات و الخدمات / | TS156 .N43 2009 إدارة الجودة المعاصرة : مقدمة في إدارة الجودة الشاملة للإنتاج و العمليات و الخدمات / | TS156 O23 1996 Statistical process control | TS156 .P286 2008 Robust design for quality engineering and Six Sigma / | TS156 .P387 2007 Commercializing great products with Design for Six Sigma / | TS156 P657 1994 Fundamentals of statistical quality control | TS156 P65712 2002 اساسيات ضبط الجودة الاحصائي/ |
Includes bibliographical references (pages 531-538) and index.
880-01 Analysis of quality information and quality improvement effort -- Fundamentals of designing experiments -- Orthogonal array experiments -- Parameter design for continuous data -- Parameter design for discrete data -- Alternative parameter design and other considerations -- Parameter design for dynamic characteristics -- Tolerance design -- Robust response surface design and analysis -- Six sigma for management innovation -- Further issues for the implementation of Six sigma -- Design for Six sigma -- Robust design and implementation of Six sigma.
"This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, manager, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis."--Jacket.