Optimal Maintenance Policies: A Graphical Analysis.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS
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Probability maintenance models can be categorized according to three types of uncertainty 1 uncertainty regarding when the next failure will occur is present for all stochastically failing components 2 uncertainty regarding the components present condition, good or failed, is present for some components and 3 uncertainty regarding the components underlying failure distribution is present in most real-world applications. Unfortunately, application of most models requires exact knowledge of the underlying failure distribution however, graphical techniques, such as Total Time on Test TTT, estimate optimal maintenance intervals based on empirical data thus, they eliminate error resulting from type three uncertainty. The authors apply a TTT model to estimate optimal motor oil replacement intervals under conditions of three types of uncertainty. Their conclusions are 1 There is no significant difference between synthetic Stauffer and CONOCO and petroleum motor oil lifetimes 2 determining optimal oil replacement intervals requires application of a model more complex than the one applied and 3 models that optimize an objective function without constraint are often not realistic. Thus, the authors develop and propose models that address three types of uncertainty and allow constraints cost, availability, or failure risk to be imposed on the model objective. Author
- Numerical Mathematics