Introducing Probabilistic Models for Redundant System Reliability
Probabilistic models have been developed to evaluate the relationship between reliability measures and the performance of a repairable network with built in redundancy. Networks with built in redundancy have been considered and explicit expressions have been derived for three characteristics related...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wrocław University of Science and Technology
2016-01-01
|
Series: | Operations Research and Decisions |
Online Access: | http://orduser.pwr.wroc.pl/DownloadFile.aspx?aid=1188 |
id |
doaj-a6457038983043d183fea97e0303a8b2 |
---|---|
record_format |
Article |
spelling |
doaj-a6457038983043d183fea97e0303a8b22020-11-24T23:24:04ZengWrocław University of Science and TechnologyOperations Research and Decisions2081-88582391-60602016-01-01vol. 26no. 1518171431360Introducing Probabilistic Models for Redundant System ReliabilityMansur Babagana0Bello Gimba1Ibrahim Yusuf2Bayero University, Kano, NigeriaFederal University, Dutse, NigeriaBayero University, Kano, NigeriaProbabilistic models have been developed to evaluate the relationship between reliability measures and the performance of a repairable network with built in redundancy. Networks with built in redundancy have been considered and explicit expressions have been derived for three characteristics related to such systems including steady-state availability, period of repair, and a profit function. Various graphs have been plotted to discover the impact of availability and mean time to system failure on net profit, as well as the impact of the failure and service rate on the steady-state availability, net profit and mean time to system failure. The system was analysed using first order linear differential equations. (original abstract)http://orduser.pwr.wroc.pl/DownloadFile.aspx?aid=1188 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mansur Babagana Bello Gimba Ibrahim Yusuf |
spellingShingle |
Mansur Babagana Bello Gimba Ibrahim Yusuf Introducing Probabilistic Models for Redundant System Reliability Operations Research and Decisions |
author_facet |
Mansur Babagana Bello Gimba Ibrahim Yusuf |
author_sort |
Mansur Babagana |
title |
Introducing Probabilistic Models for Redundant System Reliability |
title_short |
Introducing Probabilistic Models for Redundant System Reliability |
title_full |
Introducing Probabilistic Models for Redundant System Reliability |
title_fullStr |
Introducing Probabilistic Models for Redundant System Reliability |
title_full_unstemmed |
Introducing Probabilistic Models for Redundant System Reliability |
title_sort |
introducing probabilistic models for redundant system reliability |
publisher |
Wrocław University of Science and Technology |
series |
Operations Research and Decisions |
issn |
2081-8858 2391-6060 |
publishDate |
2016-01-01 |
description |
Probabilistic models have been developed to evaluate the relationship between reliability measures and the performance of a repairable network with built in redundancy. Networks with built in redundancy have been considered and explicit expressions have been derived for three characteristics related to such systems including steady-state availability, period of repair, and a profit function. Various graphs have been plotted to discover the impact of availability and mean time to system failure on net profit, as well as the impact of the failure and service rate on the steady-state availability, net profit and mean time to system failure. The system was analysed using first order linear differential equations. (original abstract) |
url |
http://orduser.pwr.wroc.pl/DownloadFile.aspx?aid=1188 |
work_keys_str_mv |
AT mansurbabagana introducingprobabilisticmodelsforredundantsystemreliability AT bellogimba introducingprobabilisticmodelsforredundantsystemreliability AT ibrahimyusuf introducingprobabilisticmodelsforredundantsystemreliability |
_version_ |
1725562049595965440 |