Spare Parts Forecasting Based on Reliability
Nataša Kontrec, Stefan Panić
Abstract
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Nataša Kontrec, Stefan Panić
Abstract
Open-access reader
Stochastic models for spare parts forecasting have not been widely researched in scientific literature from the aspect of their reliability. In this chapter, the authors present models which analyze standard reliability parameters of technical systems’ parts/components. By analyzing system reliability and failure rate, we estimate the required number of spare parts in the moment of expected failure or when reliability falls below the predefined level. Two different approaches based on data availability are presented herewith.
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Stochastic models for spare parts forecasting have not been widely researched in scientific literature from the aspect of their reliability. In this chapter, the authors present models which analyze standard reliability parameters of technical systems’ parts/components. By analyzing system reliability and failure rate, we estimate the required number of spare parts in the moment of expected failure or when reliability falls below the predefined level. Two different approaches based on data availability are presented herewith.
Key concepts: Spare part, Reliability (semiconductor), Reliability engineering, Failure rate, Computer science, Engineering, Operations management, Quantum mechanics