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Successful prediction of product per...
~
Society of Automotive Engineers.
Successful prediction of product performance : = quality, reliability, durability, safety, maintainability, life cycle cost, profit, recalls, other /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Successful prediction of product performance :/ Lev Klyatis.
其他題名:
quality, reliability, durability, safety, maintainability, life cycle cost, profit, recalls, other /
作者:
Klyatis, Lev M.,
面頁冊數:
1 PDF (xxix, 229 pages) :illustrations :
標題:
Reliability (Engineering) -
電子資源:
http://www.sae.org/content/r-448
Successful prediction of product performance : = quality, reliability, durability, safety, maintainability, life cycle cost, profit, recalls, other /
Klyatis, Lev M.,
Successful prediction of product performance :
quality, reliability, durability, safety, maintainability, life cycle cost, profit, recalls, other /Lev Klyatis. - 1 PDF (xxix, 229 pages) :illustrations - Society of Automotive Engineers. Electronic publications.. - Society of Automotive Engineers..
Includes bibliographical references and index.
Preface -- Introduction -- Chapter 1. Terms and definitions for successful prediction, reliability, and durability testing -- Chapter 2. Analysis of current approaches in simulation and testing -- Chapter 3. Methodological aspects as the first basic component of successful prediction of product performance -- Chapter 4. Basic aspects of accelerated reliability/durability testing as the second basic component of successful prediction of product performance -- Chapter 5. Integrated equipment for physical simulation of interacted real-world conditions -- Chapter 6. Financial considerations, use of the author's approach, and some published reviews to the author's previous books -- Chapter 7. Improving the standarization of accelerated reliability and durability testing -- Chapter 8. Improvement in engineering culture for successful prediction -- Index -- Abou the author.
Restricted to subscribers or individual electronic text purchasers.
This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters.
Mode of access: World Wide Web.
Standard No.: 10.4271/R-448doiSubjects--Topical Terms:
527662
Reliability (Engineering)
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: TS173 / .K6323 2016eb
Dewey Class. No.: 620/.00452
Successful prediction of product performance : = quality, reliability, durability, safety, maintainability, life cycle cost, profit, recalls, other /
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Preface -- Introduction -- Chapter 1. Terms and definitions for successful prediction, reliability, and durability testing -- Chapter 2. Analysis of current approaches in simulation and testing -- Chapter 3. Methodological aspects as the first basic component of successful prediction of product performance -- Chapter 4. Basic aspects of accelerated reliability/durability testing as the second basic component of successful prediction of product performance -- Chapter 5. Integrated equipment for physical simulation of interacted real-world conditions -- Chapter 6. Financial considerations, use of the author's approach, and some published reviews to the author's previous books -- Chapter 7. Improving the standarization of accelerated reliability and durability testing -- Chapter 8. Improvement in engineering culture for successful prediction -- Index -- Abou the author.
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This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters.
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