A Simple Discrete Approximation for the Renewal Function

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...

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Main Author: Brezavšček Alenka
Format: Article
Language:English
Published: Sciendo 2013-03-01
Series:Business Systems Research
Subjects:
Online Access:https://doi.org/10.2478/bsrj-2013-0006
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spelling doaj-ec88728673964e6ba5c7171a7c8752f82021-09-05T21:00:35ZengSciendoBusiness Systems Research1847-93752013-03-0141657510.2478/bsrj-2013-0006A Simple Discrete Approximation for the Renewal FunctionBrezavšček Alenka0University of Maribor, Faculty of Organizational Sciences, Kranj, SloveniaBackground: 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.https://doi.org/10.2478/bsrj-2013-0006componentfailure timesprobability density functionrandom failureswear-out failuresrenewal functionapproximation
collection DOAJ
language English
format Article
sources DOAJ
author Brezavšček Alenka
spellingShingle Brezavšček Alenka
A Simple Discrete Approximation for the Renewal Function
Business Systems Research
component
failure times
probability density function
random failures
wear-out failures
renewal function
approximation
author_facet Brezavšček Alenka
author_sort Brezavšček Alenka
title A Simple Discrete Approximation for the Renewal Function
title_short A Simple Discrete Approximation for the Renewal Function
title_full A Simple Discrete Approximation for the Renewal Function
title_fullStr A Simple Discrete Approximation for the Renewal Function
title_full_unstemmed A Simple Discrete Approximation for the Renewal Function
title_sort simple discrete approximation for the renewal function
publisher Sciendo
series Business Systems Research
issn 1847-9375
publishDate 2013-03-01
description 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.
topic component
failure times
probability density function
random failures
wear-out failures
renewal function
approximation
url https://doi.org/10.2478/bsrj-2013-0006
work_keys_str_mv AT brezavscekalenka asimplediscreteapproximationfortherenewalfunction
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