Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system

Ruoyu Liao; Yihai He; Xin Zheng; Yuqing Zhang

doi:10.1109/ICRMS55680.2022.9944578

Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system

Ruoyu Liao^*, Yihai He, Xin Zheng, Yuqing Zhang

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Risk-based thinking can better characterize and quantify the defects in the operational process of the manufacturing system, so the probability and loss of defects can be reduced by considering maintenance from the perspective of risk. However, current studies about risk-based maintenance (RBM) for manufacturing systems are rare. Therefore, a risk modeling and maintenance method based on multi-state intelligent manufacturing system is proposed. First, a new definition of operational risk of manufacturing system is proposed by extending the conception of the mission reliability of manufacturing system, and the connotation of RBM is explained. Second, a manufacturing system operational risk model is built based on mission reliability. Third, a RBM framework is proposed to determine the priority of machine maintenance by evaluating the risk level of the machine. Finally, an example is given to illustrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)
Publisher	IEEE
Pages	93-98
ISBN (Electronic)	978-1-6654-8690-3
DOIs	https://doi.org/10.1109/ICRMS55680.2022.9944578
Publication status	Published - 2022
Event	13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022 - Hong Kong, China Duration: 21 Aug 2022 → 24 Aug 2022 http://www.icrms2022.org

Publication series

Name	International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS

Conference

Conference	13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022
Place	China
City	Hong Kong
Period	21/08/22 → 24/08/22
Internet address	http://www.icrms2022.org

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

manufacturing system
markov model
mission reliability
operational risk
operational risk-based maintenance

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10.1109/ICRMS55680.2022.9944578

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Liao, R., He, Y., Zheng, X., & Zhang, Y. (2022). Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system. In 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS) (pp. 93-98). (International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS). IEEE. https://doi.org/10.1109/ICRMS55680.2022.9944578

Liao, Ruoyu ; He, Yihai ; Zheng, Xin et al. / Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system. 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2022. pp. 93-98 (International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS).

@inproceedings{4784686c7e9445f6b0c0782ddb40a6de,

title = "Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system",

abstract = "Risk-based thinking can better characterize and quantify the defects in the operational process of the manufacturing system, so the probability and loss of defects can be reduced by considering maintenance from the perspective of risk. However, current studies about risk-based maintenance (RBM) for manufacturing systems are rare. Therefore, a risk modeling and maintenance method based on multi-state intelligent manufacturing system is proposed. First, a new definition of operational risk of manufacturing system is proposed by extending the conception of the mission reliability of manufacturing system, and the connotation of RBM is explained. Second, a manufacturing system operational risk model is built based on mission reliability. Third, a RBM framework is proposed to determine the priority of machine maintenance by evaluating the risk level of the machine. Finally, an example is given to illustrate the effectiveness of the proposed method.",

keywords = "manufacturing system, markov model, mission reliability, operational risk, operational risk-based maintenance",

author = "Ruoyu Liao and Yihai He and Xin Zheng and Yuqing Zhang",

year = "2022",

doi = "10.1109/ICRMS55680.2022.9944578",

language = "English",

series = "International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS",

publisher = "IEEE",

pages = "93--98",

booktitle = "2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)",

address = "United States",

note = "13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022 ; Conference date: 21-08-2022 Through 24-08-2022",

url = "http://www.icrms2022.org",

}

Liao, R, He, Y, Zheng, X & Zhang, Y 2022, Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system. in 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS). International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS, IEEE, pp. 93-98, 13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022, Hong Kong, China, 21/08/22. https://doi.org/10.1109/ICRMS55680.2022.9944578

Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system. / Liao, Ruoyu; He, Yihai; Zheng, Xin et al.
2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2022. p. 93-98 (International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system

AU - Liao, Ruoyu

AU - He, Yihai

AU - Zheng, Xin

AU - Zhang, Yuqing

PY - 2022

Y1 - 2022

N2 - Risk-based thinking can better characterize and quantify the defects in the operational process of the manufacturing system, so the probability and loss of defects can be reduced by considering maintenance from the perspective of risk. However, current studies about risk-based maintenance (RBM) for manufacturing systems are rare. Therefore, a risk modeling and maintenance method based on multi-state intelligent manufacturing system is proposed. First, a new definition of operational risk of manufacturing system is proposed by extending the conception of the mission reliability of manufacturing system, and the connotation of RBM is explained. Second, a manufacturing system operational risk model is built based on mission reliability. Third, a RBM framework is proposed to determine the priority of machine maintenance by evaluating the risk level of the machine. Finally, an example is given to illustrate the effectiveness of the proposed method.

AB - Risk-based thinking can better characterize and quantify the defects in the operational process of the manufacturing system, so the probability and loss of defects can be reduced by considering maintenance from the perspective of risk. However, current studies about risk-based maintenance (RBM) for manufacturing systems are rare. Therefore, a risk modeling and maintenance method based on multi-state intelligent manufacturing system is proposed. First, a new definition of operational risk of manufacturing system is proposed by extending the conception of the mission reliability of manufacturing system, and the connotation of RBM is explained. Second, a manufacturing system operational risk model is built based on mission reliability. Third, a RBM framework is proposed to determine the priority of machine maintenance by evaluating the risk level of the machine. Finally, an example is given to illustrate the effectiveness of the proposed method.

KW - manufacturing system

KW - markov model

KW - mission reliability

KW - operational risk

KW - operational risk-based maintenance

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U2 - 10.1109/ICRMS55680.2022.9944578

DO - 10.1109/ICRMS55680.2022.9944578

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS

SP - 93

EP - 98

BT - 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)

PB - IEEE

T2 - 13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022

Y2 - 21 August 2022 through 24 August 2022

ER -

Liao R, He Y, Zheng X, Zhang Y. Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system. In 2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE. 2022. p. 93-98. (International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS). Epub 2022 Nov 15. doi: 10.1109/ICRMS55680.2022.9944578

Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system

Abstract

Publication series

Conference

UN SDGs

Research Keywords

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