Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain

Accurate and dynamic reliability modeling for the running manufacturing system is the prerequisite to implement preventive maintenance. However, existing studies could not output the reliability value in real time because their abandonment of the quality inspection data originated in the operation p...
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Autor*in:	Yihai He [verfasserIn] Zhenzhen He Linbo Wang Changchao Gu

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Rechteinformationen:	Nutzungsrecht: Copyright © 2015 Yihai He et al.

Schlagwörter:	Preventive maintenance Design specifications Engineering Mathematical models Flexible manufacturing systems Product returns Product life cycle Product quality Optimization QA1-939 Engineering (General). Civil engineering (General) TA1-2040 Mathematics

Übergeordnetes Werk:	Enthalten in: Mathematical problems in engineering - New York, NY : Hindawi, 1995, 2015(2015), Seite 1-13
Übergeordnetes Werk:	volume:2015 ; year:2015 ; pages:1-13

Links:	Volltext Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.1155/2015/379098

Katalog-ID:	OLC1961833204

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520			\|a Accurate and dynamic reliability modeling for the running manufacturing system is the prerequisite to implement preventive maintenance. However, existing studies could not output the reliability value in real time because their abandonment of the quality inspection data originated in the operation process of manufacturing system. Therefore, this paper presents an approach to model the manufacturing system reliability dynamically based on their operation data of process quality and output data of product reliability. Firstly, on the basis of importance explanation of the quality variations in manufacturing process as the linkage for the manufacturing system reliability and product inherent reliability, the RQR chain which could represent the relationships between them is put forward, and the product qualified probability is proposed to quantify the impacts of quality variation in manufacturing process on the reliability of manufacturing system further. Secondly, the impact of qualified probability on the product inherent reliability is expounded, and the modeling approach of manufacturing system reliability based on the qualified probability is presented. Thirdly, the preventive maintenance optimization strategy for manufacturing system driven by the loss of manufacturing quality variation is proposed. Finally, the validity of the proposed approach is verified by the reliability analysis and optimization example of engine cover manufacturing system.
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author	Yihai He
spellingShingle	Yihai He ddc 510 misc Preventive maintenance misc Design specifications misc Engineering misc Mathematical models misc Flexible manufacturing systems misc Product returns misc Product life cycle misc Product quality misc Optimization misc QA1-939 misc Engineering (General). Civil engineering (General) misc TA1-2040 misc Mathematics Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain
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topic	ddc 510 misc Preventive maintenance misc Design specifications misc Engineering misc Mathematical models misc Flexible manufacturing systems misc Product returns misc Product life cycle misc Product quality misc Optimization misc QA1-939 misc Engineering (General). Civil engineering (General) misc TA1-2040 misc Mathematics
topic_unstemmed	ddc 510 misc Preventive maintenance misc Design specifications misc Engineering misc Mathematical models misc Flexible manufacturing systems misc Product returns misc Product life cycle misc Product quality misc Optimization misc QA1-939 misc Engineering (General). Civil engineering (General) misc TA1-2040 misc Mathematics
topic_browse	ddc 510 misc Preventive maintenance misc Design specifications misc Engineering misc Mathematical models misc Flexible manufacturing systems misc Product returns misc Product life cycle misc Product quality misc Optimization misc QA1-939 misc Engineering (General). Civil engineering (General) misc TA1-2040 misc Mathematics
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title	Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain
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title_full	Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain
author_sort	Yihai He
journal	Mathematical problems in engineering
journalStr	Mathematical problems in engineering
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doi_str_mv	10.1155/2015/379098
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title_sort	reliability modeling and optimization strategy for manufacturing system based on rqr chain
title_auth	Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain
abstract	Accurate and dynamic reliability modeling for the running manufacturing system is the prerequisite to implement preventive maintenance. However, existing studies could not output the reliability value in real time because their abandonment of the quality inspection data originated in the operation process of manufacturing system. Therefore, this paper presents an approach to model the manufacturing system reliability dynamically based on their operation data of process quality and output data of product reliability. Firstly, on the basis of importance explanation of the quality variations in manufacturing process as the linkage for the manufacturing system reliability and product inherent reliability, the RQR chain which could represent the relationships between them is put forward, and the product qualified probability is proposed to quantify the impacts of quality variation in manufacturing process on the reliability of manufacturing system further. Secondly, the impact of qualified probability on the product inherent reliability is expounded, and the modeling approach of manufacturing system reliability based on the qualified probability is presented. Thirdly, the preventive maintenance optimization strategy for manufacturing system driven by the loss of manufacturing quality variation is proposed. Finally, the validity of the proposed approach is verified by the reliability analysis and optimization example of engine cover manufacturing system.
abstractGer	Accurate and dynamic reliability modeling for the running manufacturing system is the prerequisite to implement preventive maintenance. However, existing studies could not output the reliability value in real time because their abandonment of the quality inspection data originated in the operation process of manufacturing system. Therefore, this paper presents an approach to model the manufacturing system reliability dynamically based on their operation data of process quality and output data of product reliability. Firstly, on the basis of importance explanation of the quality variations in manufacturing process as the linkage for the manufacturing system reliability and product inherent reliability, the RQR chain which could represent the relationships between them is put forward, and the product qualified probability is proposed to quantify the impacts of quality variation in manufacturing process on the reliability of manufacturing system further. Secondly, the impact of qualified probability on the product inherent reliability is expounded, and the modeling approach of manufacturing system reliability based on the qualified probability is presented. Thirdly, the preventive maintenance optimization strategy for manufacturing system driven by the loss of manufacturing quality variation is proposed. Finally, the validity of the proposed approach is verified by the reliability analysis and optimization example of engine cover manufacturing system.
abstract_unstemmed	Accurate and dynamic reliability modeling for the running manufacturing system is the prerequisite to implement preventive maintenance. However, existing studies could not output the reliability value in real time because their abandonment of the quality inspection data originated in the operation process of manufacturing system. Therefore, this paper presents an approach to model the manufacturing system reliability dynamically based on their operation data of process quality and output data of product reliability. Firstly, on the basis of importance explanation of the quality variations in manufacturing process as the linkage for the manufacturing system reliability and product inherent reliability, the RQR chain which could represent the relationships between them is put forward, and the product qualified probability is proposed to quantify the impacts of quality variation in manufacturing process on the reliability of manufacturing system further. Secondly, the impact of qualified probability on the product inherent reliability is expounded, and the modeling approach of manufacturing system reliability based on the qualified probability is presented. Thirdly, the preventive maintenance optimization strategy for manufacturing system driven by the loss of manufacturing quality variation is proposed. Finally, the validity of the proposed approach is verified by the reliability analysis and optimization example of engine cover manufacturing system.
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title_short	Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain
url	http://dx.doi.org/10.1155/2015/379098 http://search.proquest.com/docview/1737445232 https://doaj.org/article/9f3b7f9b5ce943b7a01be79948292689
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author2	Zhenzhen He Linbo Wang Changchao Gu
author2Str	Zhenzhen He Linbo Wang Changchao Gu
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doi_str	10.1155/2015/379098
up_date	2024-07-04T02:13:47.056Z
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