Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3925
Title: A novel replacement policy for a linear deteriorating system using stochastic process with dependent components
Authors: Poladova, Aynura
Tekin, Salih
Khaniyev, Tahir
157107
Keywords: boundary functionals
linearly deteriorating system
preventive maintenance
replacement policy
stochastic process with dependent components
Issue Date: May-2020
Publisher: Wiley
Source: Poladova, A., Tekin, S., & Khaniyev, T. (2020). A novel replacement policy for a linear deteriorating system using stochastic process with dependent components. Applied Stochastic Models in Business and Industry.
Abstract: In this study, a mechanical system with linear deterioration and preventive maintenance is considered. The state of the system over time is represented by a semicontinuous stochastic process with dependent components. The system cycles through on and off periods during its lifetime. The state of the system deteriorates linearly as a function of the usage time during on periods. When the system is offline, preventive maintenance is conducted, which improves the system state by a random amount. The system's on and off times and random improvement amounts are assumed to have general distributions. For such a system, our objective is to determine the expected value and variance for the number of preventive maintenance activities needed during the system lifetime and to propose a novel replacement policy for the system based on delay-time modeling. Finally, the effectiveness of the obtained asymptotic results and the proposed replacement policy are tested through simulation.
URI: https://hdl.handle.net/20.500.11851/3925
https://doi.org/10.1002/asmb.2494
ISSN: 1524-1904
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

1
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

1
checked on Sep 24, 2022

Page view(s)

90
checked on Feb 6, 2023

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.