Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process

Aimed at the uncertainty of equipment quantity and input, the defective products and its rework in the manufacturing process are investigated. Considering the influence of the number or input of the devices on system reliability, a manufacturing system reliability evaluation model is established bas...

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Autores principales:	GAO Yingming, CHEN Zhen, ZHANG Xiufang, PAN Ershun
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2021
Materias:	manufacturing system reliability stochastic flow network markov process maintenance Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/35c66fe0829c4a76ba868ddd1f3fdd3a
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spelling	oai:doaj.org-article:35c66fe0829c4a76ba868ddd1f3fdd3a2021-11-04T09:28:54ZReliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process1006-246710.16183/j.cnki.jsjtu.2019.345https://doaj.org/article/35c66fe0829c4a76ba868ddd1f3fdd3a2021-03-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2019.345https://doaj.org/toc/1006-2467Aimed at the uncertainty of equipment quantity and input, the defective products and its rework in the manufacturing process are investigated. Considering the influence of the number or input of the devices on system reliability, a manufacturing system reliability evaluation model is established based on stochastic flow network. The homogeneous Markov process is used to analyze the state of system degradation and maintenance. Considering the constraint of system reliability, a systematic maintenance model is proposed to minimize maintenance cost. The results of the numerical experiment demonstrate that the proposed model is effective and advanced.GAO YingmingCHEN ZhenZHANG XiufangPAN ErshunEditorial Office of Journal of Shanghai Jiao Tong Universityarticlemanufacturing system reliabilitystochastic flow networkmarkov processmaintenanceEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 55, Iss 03, Pp 229-235 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	manufacturing system reliability stochastic flow network markov process maintenance Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	manufacturing system reliability stochastic flow network markov process maintenance Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 GAO Yingming CHEN Zhen ZHANG Xiufang PAN Ershun Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process
description	Aimed at the uncertainty of equipment quantity and input, the defective products and its rework in the manufacturing process are investigated. Considering the influence of the number or input of the devices on system reliability, a manufacturing system reliability evaluation model is established based on stochastic flow network. The homogeneous Markov process is used to analyze the state of system degradation and maintenance. Considering the constraint of system reliability, a systematic maintenance model is proposed to minimize maintenance cost. The results of the numerical experiment demonstrate that the proposed model is effective and advanced.
format	article
author	GAO Yingming CHEN Zhen ZHANG Xiufang PAN Ershun
author_facet	GAO Yingming CHEN Zhen ZHANG Xiufang PAN Ershun
author_sort	GAO Yingming
title	Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process
title_short	Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process
title_full	Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process
title_fullStr	Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process
title_full_unstemmed	Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process
title_sort	reliability modeling and maintenance optimization of manufacturing system based on stochastic flow network and markov process
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2021
url	https://doaj.org/article/35c66fe0829c4a76ba868ddd1f3fdd3a
work_keys_str_mv	AT gaoyingming reliabilitymodelingandmaintenanceoptimizationofmanufacturingsystembasedonstochasticflownetworkandmarkovprocess AT chenzhen reliabilitymodelingandmaintenanceoptimizationofmanufacturingsystembasedonstochasticflownetworkandmarkovprocess AT zhangxiufang reliabilitymodelingandmaintenanceoptimizationofmanufacturingsystembasedonstochasticflownetworkandmarkovprocess AT panershun reliabilitymodelingandmaintenanceoptimizationofmanufacturingsystembasedonstochasticflownetworkandmarkovprocess
_version_	1718444951773118464

Reliability Modeling and Maintenance Optimization of Manufacturing System Based on Stochastic Flow Network and Markov Process

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