Abstract:

Industry with a high level of investment, such as the oil and gas industry, needs a high level of availability. Product support and its related issues such as spare parts play an important role in maintaining a system at a desired level of availability. Reliability performance is a critical factor for product support and spare parts planning which can be influenced by operational environment. Therefore, all influence factors (covariates) on reliability performances must be considered in order to predicate the required number of spare parts. The available reliability based methods for forecasting spare parts have given less attention to quantifying the effect of covariates. The aim of this paper is to study the effect of time-dependent and time-independent covariates on the prediction of spare parts using a real case study.