Synopsis
As quality becomes an increasingly essential factor for achieving business success, building quality improvement into all stages―product planning, product design, and process design―instead of just manufacturing has also become essential. Quality Engineering: Off-Line Methods and Applications explores how to use quality engineering methods and other modern techniques to ensure design optimization at every stage. The book takes a broad approach, focusing on the user’s perspective and building a well-structured framework for the study and implementation of quality engineering.
Starting with the basics, this book presents an overall picture of quality engineering. The author delineates quality engineering methods such as DOE, Taguchi, and RSM as well as computational intelligence approaches. He discusses how to use a general computational intelligence approach to improve product quality and process performance. He also provides extensive examples and case studies, numerous exercises, and a glossary of basic terms.
By adopting quality engineering, the defect rate during manufacturing shows noticeable improvement, the production cost is significantly lower, and the quality and reliability of products can be enhanced. Taking an integrated approach that makes the methods of upstream quality improvement accessible, without extensive mathematical treatments, this book is both a practical reference and an excellent textbook.
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About the Author
Chao-Ton Su is a chair professor with the Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan.
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Quality Engineering : Off-Line Methods and Applications
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Quality Engineering (Hardcover)
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Taylor & Francis Inc, Bosa Roca, 2013
ISBN 10: 1466569476
ISBN 13: 9781466569478
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Hardcover. Condition: new. Hardcover. As quality becomes an increasingly essential factor for achieving business success, building quality improvement into all stagesproduct planning, product design, and process designinstead of just manufacturing has also become essential. Quality Engineering: Off-Line Methods and Applications explores how to use quality engineering methods and other modern techniques to ensure design optimization at every stage. The book takes a broad approach, focusing on the users perspective and building a well-structured framework for the study and implementation of quality engineering.Starting with the basics, this book presents an overall picture of quality engineering. The author delineates quality engineering methods such as DOE, Taguchi, and RSM as well as computational intelligence approaches. He discusses how to use a general computational intelligence approach to improve product quality and process performance. He also provides extensive examples and case studies, numerous exercises, and a glossary of basic terms.By adopting quality engineering, the defect rate during manufacturing shows noticeable improvement, the production cost is significantly lower, and the quality and reliability of products can be enhanced. Taking an integrated approach that makes the methods of upstream quality improvement accessible, without extensive mathematical treatments, this book is both a practical reference and an excellent textbook. Quality is an essential determinant for achieving overall business success. Quality Engineering: Off-Line Methods and Applications discusses the use of quality engineering methods and other modern techniques to ensure design optimization in the product and process design stages for a company. Starting with the basics, this book presents an overall picture of quality engineering. It helps readers understand quality engineering methods such as DOE, Taguchi, RSM, and computational intelligence approaches. It also provides extensive examples and case studies, without extensive mathematical treatments, making it accessible to a broad audience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781466569478
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Condition: New. "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Num Pages: 394 pages, 140 black & white illustrations, 226 black & white tables. BIC Classification: TBC; TGPQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 261 x 181 x 27. Weight in Grams: 940. . 2013. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781466569478
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