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Nakagawa, Toshio; Zhao, Xufeng - Maintenance Overtime Policies in Reliability Theory: Models with Random Working Cycles - 9783319208121 - V9783319208121
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Maintenance Overtime Policies in Reliability Theory: Models with Random Working Cycles

€ 127.73
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Description for Maintenance Overtime Policies in Reliability Theory: Models with Random Working Cycles hardcover. Series: Lecture Notes in Production Engineering. Num Pages: 128 pages, 2 black & white illustrations, biography. BIC Classification: KJMV6; TGPR; UYD. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 364.
This book introduces a new notion of replacement in maintenance and reliability theory. Replacement Overtime, where replacement is done at the first completion of a working cycle over a planned time, is a new research topic in maintenance theory and also serves to provide a fresh optimization technique in reliability engineering. In comparing replacement overtime with standard and random replacement techniques theoretically and numerically, 'Maintenance Overtime Policies in Reliability Theory' highlights the key improvements to be gained by adopting this new approach and shows how they can be applied to inspection policies, parallel systems and cumulative damage models. Utilizing the ... Read more

Product Details

Format
Hardback
Publication date
2015
Publisher
Springer Switzerland
Number of pages
128
Condition
New
Series
Lecture Notes in Production Engineering
Number of Pages
118
Place of Publication
Cham, Switzerland
ISBN
9783319208121
SKU
V9783319208121
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Nakagawa, Toshio; Zhao, Xufeng
Professor Toshio Nakagawa has already published more than two hundred research papers on subject of maintenance and reliability theory in main reliability journals, and has published four books titled on "Maintenance Theory of Reliability" in 2005, "Shock and Damage Models in Reliability Theory" in 2007, "Advanced Reliability Models and Maintenance Policies" in 2008, and "Stochastic Processes with Applications to Reliability ... Read more

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