Determining Optimal Reliability Targets : Engineering Analysis and Simulation of Product Validation Costs and Warranty Data

Language: English

Published by LAP LAMBERT Academic Publishing, 2010

3838340620 / 9783838340623

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a methodology to minimize the life cycle cost of a product based on the decision variables controlled by a reliability/quality professional during a product development process. The relationship between product quality and product reliability continues to be a gray area due to the different nature of failures attributed to those two categories and a general lack of studies establishing the effect of product validation activities on future field failures. The methodology proposed in this book incorporates all product dependability-related activities into a comprehensive probabilistic cost model that enables minimization of the product s life cycle cost. The major model inputs include the cost of ownership of test equipment, forecasted cost of warranty returns, and environmental test parameters of a product validation program. This work will provide reliability professionals with a methodology to evaluate the efficiency of a product validation program from a life cycle cost point of view, and ultimately minimize that cost by optimizing the test flow of the product validation process.

Seller Inventory # 9783838340623

Title
Determining Optimal Reliability Targets : Engineering Analysis and Simulation of Product Validation Costs and Warranty Data
Author
Andre Kleyner
Publisher
LAP LAMBERT Academic Publishing
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838340620
ISBN 13
9783838340623
Item weight
340 grams
Dimensions
220x150x13 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
First itemUS$ 71.75US$ 83.37
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