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Alenka Brezavšček

Abstract

Background: The renewal function is widely useful in the areas of reliability, maintenance and spare component inventory planning. Its calculation relies on the type of the probability density function of component failure times which can be, regarding the region of the component lifetime, modelled either by the exponential or by one of the peak-shaped density functions. For most peak-shaped distribution families the closed form of the renewal function is not available. Many approximate solutions can be found in the literature, but calculations are often tedious. Simple formulas are usually obtained for a limited range of functions only. Objectives: We propose a new approach for evaluation of the renewal function by the use of a simple discrete approximation method, applicable to any probability density function. Methods/Approach: The approximation is based on the well known renewal equation. Results: The usefulness is proved through some numerical results using the normal, lognormal, Weibull and gamma density functions. The accuracy is analysed using the normal density function. Conclusions: The approximation proposed enables simple and fairly accurate calculation of the renewal function irrespective of the type of the probability density function. It is especially applicable to the peak-shaped density functions when the analytical solution hardly ever exists.

Open access

Elina Radionova-Girsa and Agnesa Lahiža

). Customers for life: how to turn that one-time buyer into a lifetime customer, Crown Business; Revised Edition. Trif, S. M. (2013). The influence of overall satisfaction and trust on customer loyalty. Management & marketing challenges for the knowledge society, 8(1), 109-128. Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2010). An assessment of customers’ e-service quality perception, satisfaction and intention. International Journal of Information Management, 30(6), 481-492. https://doi.org/10.1016/j.ijinfomgt.2010.03.005 Yi, J

Open access

Beata Bieszk-Stolorz

risks when failure times are discrete , Lifetime Data Analysis, 2(2), pp. 195-209, DOI: 10.1007/BF00128575. Crowder M., 1997, A test for independence of competing risks with discrete failure times , Lifetime Data Analysis, 3(3), pp. 215-223, DOI: 10.1023/A:1009696830515. Gooley T.A., Leisenring W., Crowley J., Storer B.E., 1999, Estimation of failure probabilities in the presence of competing risks: New representations of old estimators , Statistics in Medicine, 18(6), pp. 695-706, DOI:10.1002/(SICI)10970258(19990330)18:6<695::AID-SIM60>3.0.CO;2-O