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Life End Stock Need Estimation for Repairable Spare Components of Obsoleting Fleet by Simulation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationEngineering Assets and Public Infrastructures in the Age of Digitalization
Subtitle of host publicationProceedings of the 13th World Congress on Engineering Asset Management
EditorsJayantha P. Liyanage, Joe Amadi-Echendu, Joseph Mathew
PublisherSpringer
Pages521-529
Number of pages9
ISBN (Electronic)978-3-030-48021-9
ISBN (Print)978-3-030-48020-2
DOIs
Publication statusPublished - 2020
Publication typeA4 Article in a conference publication
EventWorld Congress on Engineering Asset Management -
Duration: 1 Jan 1900 → …

Publication series

NameLecture Notes in Mechanical Engineering
PublisherSpringer
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

ConferenceWorld Congress on Engineering Asset Management
Period1/01/00 → …

Abstract

Fleets of systems are often using common spare components. Occasionally when the manufacturing of some component will end a sufficient size of stock of components is needed in advance to cover the remaining life of the fleet. In this study the computer simulation model was built for making predictions about the fleet availability and spare part stock development concerning the whole life span of the fleet. The computer algorithm included algorithmically the corporation fleet running, repair, transport and storage rules. All event durations have been assumed to be stochastic that is random but evolving from the specific distribution. Failure probability distribution functions for the simulation were generated from the historical data of the components of the systems of the fleet. As a contribution, this study introduces a method of estimating failure probability density function for each failure count individually. This approach makes possible to capture the effect of actual repair process to the probability of the next component failure in simulation.

Publication forum classification

Field of science, Statistics Finland