Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers

The capacity and capability of flexible manufacturing system varies with different market demands. To satisfy the requirements of performance expressions, avoid the problem of combinatorial explosion and consider the influence of intermediate buffer stations, a new reliability modelling and evaluati...

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Main Authors: Jianguo Duan, Nan Xie, Lianhui Li
Format: Article
Language:English
Published: SAGE Publishing 2019-06-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814019855483
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spelling doaj-ad2753d7bc9d488bbd3e0bd9f5292a9d2020-11-25T03:40:41ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-06-011110.1177/1687814019855483Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffersJianguo Duan0Nan Xie1Lianhui Li2China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, ChinaSino-German College of Applied Sciences, Tongji University, Shanghai, ChinaNingxia Key Laboratory of Intelligent Information and Big Data Processing, North Minzu University, Yinchuan, ChinaThe capacity and capability of flexible manufacturing system varies with different market demands. To satisfy the requirements of performance expressions, avoid the problem of combinatorial explosion and consider the influence of intermediate buffer stations, a new reliability modelling and evaluating methodology for repairable non-series hybrid flexible manufacturing systems with finite buffers is proposed using an extended vector universal generating function technique. For repairable modular machines, the Markov models of modular machines are established using stochastic process analysis and the corresponding theoretical steady-state probability in various states is obtained. Furthermore, the original system in combination with multi-state reliability measures of buffer stations is equivalent to a system with independent machines which can be expressed by vector u -functions. Based on the probability distributions of the states of subsystems, the composition operators for series connections and parallel connections are defined. Consequently, the entire system is simplified to one component represented by the polynomial universal generating function. In particular, reliability indicators and measurement models are given to assess the system’s reliability through promoting the basic ones. Finally, a practical case of engine head machining line is utilized to verify the effectiveness of the method. The results demonstrate that the use of vector universal generating functions can describe the system structure and states more appropriately while providing efficient assessment.https://doi.org/10.1177/1687814019855483
collection DOAJ
language English
format Article
sources DOAJ
author Jianguo Duan
Nan Xie
Lianhui Li
spellingShingle Jianguo Duan
Nan Xie
Lianhui Li
Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
Advances in Mechanical Engineering
author_facet Jianguo Duan
Nan Xie
Lianhui Li
author_sort Jianguo Duan
title Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
title_short Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
title_full Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
title_fullStr Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
title_full_unstemmed Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
title_sort modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2019-06-01
description The capacity and capability of flexible manufacturing system varies with different market demands. To satisfy the requirements of performance expressions, avoid the problem of combinatorial explosion and consider the influence of intermediate buffer stations, a new reliability modelling and evaluating methodology for repairable non-series hybrid flexible manufacturing systems with finite buffers is proposed using an extended vector universal generating function technique. For repairable modular machines, the Markov models of modular machines are established using stochastic process analysis and the corresponding theoretical steady-state probability in various states is obtained. Furthermore, the original system in combination with multi-state reliability measures of buffer stations is equivalent to a system with independent machines which can be expressed by vector u -functions. Based on the probability distributions of the states of subsystems, the composition operators for series connections and parallel connections are defined. Consequently, the entire system is simplified to one component represented by the polynomial universal generating function. In particular, reliability indicators and measurement models are given to assess the system’s reliability through promoting the basic ones. Finally, a practical case of engine head machining line is utilized to verify the effectiveness of the method. The results demonstrate that the use of vector universal generating functions can describe the system structure and states more appropriately while providing efficient assessment.
url https://doi.org/10.1177/1687814019855483
work_keys_str_mv AT jianguoduan modellingandevaluationofmultistatereliabilityofrepairablenonseriesmanufacturingsystemwithfinitebuffers
AT nanxie modellingandevaluationofmultistatereliabilityofrepairablenonseriesmanufacturingsystemwithfinitebuffers
AT lianhuili modellingandevaluationofmultistatereliabilityofrepairablenonseriesmanufacturingsystemwithfinitebuffers
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