Titlebook: Reliability, Maintenance and Logistic Support; - A Life Cycle Appro U. Dinesh Kumar,John Crocker,M. El-Haram Book 2000 Springer Science+Bus

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https://doi.org/10.1007/978-1-4615-4655-9data mining; design; logistics; maintainability; maintenance; optimization; quality; reliability; quality co

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ROOF

Probability Theory,ng the outcome of some games of chance. Probability theory is applicable to everyday life situations where the outcome of a repeated process, experiment, test, or trial is uncertain and a prediction has to be made.

delusion

Maintainability and Maintenance,s, maintenance costs around 10% of the airlines total cost, as much as fuel and travel agents’ commission (M Lam, 1995). Operators/users would like their system to be available and safe to operate when required. One should be lucky to find a smiling customer when the system fails and it takes a long time to recover the functionality.

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存心

Availability,it cannot be used until it has been declared airworthy. This is likely to cause inconvenience to the customers who may then decide to switch to an alternative airline in future. It may disrupt the timetables and cause problems for several days.

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Reliability Measures,ts must be tailored to individual item considering operational environment and mission criticality. In broader sense, the reliability metrics can be classified (Fig 3.1) as: 1. Basic Reliability Measures, 2. Mission Reliability Measures, 3. Operational Reliability Measures, and 4. Contractual Reliability Measures.

Incise

Systems Reliability, using the Markov models. Throughout the Chapter, the word `system’ is used to represent the complete equipment and the word `item’ is used as a generic term that stands for subsystem, module, component, part or unit. Any reliability prediction methodology using timeto-failure approach will involve the following steps: