The macro-phenomena that make the Life Cycle Cost (LCC), of a mass transit vehicle, depending on its reliability level are here interpreted by a statistical model. The main component of the model is a specific Non-Homogeneous Poisson Process (NHPP) that enables counting the failures that must be financially supported during the whole life of the vehicle. In order to allow the practical application of the above NHPP, both pseudo Linear and Maximum Likelihood estimators are proposed for its parameters. The good fitting of the proposed NHPP to more data sets, found in the published literature in different fields too, showed its adequacy to interpret the Reliability Growth phenomenon (the correct interpretation of which is a decisive factor for a good LCC model).
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