Mission reliability–centered maintenance approach based on quality stochastic flow network for multistate manufacturing systems

• Autorzy: Yang Xiuzhen , He Yihai , Zhou Di , Zheng Xin

Identyfikatory

DOI

10.17531/ein.2022.3.7

• Języki publikacji: EN

Abstrakty

EN

Previous studies of reliability centered maintenance (RCM) rarely consider the maintenance quality for the operation condition monitoring of manufacturing system. Therefore, a quality-oriented maintenance approach for the multistate manufacturing system with the aid of mission reliability is proposed. First, connotations of the mission reliability and maintenance quality of the multistate manufacturing system are expounded on the basis of the operational mechanism. Second, a quality stochastic flow network (QSFN) model of the multistate manufacturing system is established, and a novel mission reliability model is presented. Third, a quality-oriented mission reliability–centered maintenance framework for multistate manufacturing systems is proposed, and the optimal integrated maintenance strategy is obtained by minimizing the total cost. Finally, an industrial example of subway flow receiver is presented to verify the proposed method. Results show that the proposed method can simultaneously balance the maintenance cost and maintenance quality of the multistate manufacturing system.

Słowa kluczowe

EN

manufacturing system; reliability centered maintenance; RCM; mission reliability; maintenance quality; quality stochastic flow network

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 3
• Strony: 455--467
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Yang Xiuzhen

• Beihang University, School of Reliability and Systems Engineering, Beijing, 100191, China

• https://orcid.org/0000-0003-1483-5765

autor

He Yihai

• Beihang University, School of Reliability and Systems Engineering, Beijing, 100191, China

• https://orcid.org/0000-0002-9110-2672

autor

Zhou Di

• Beihang University, School of Reliability and Systems Engineering, Beijing, 100191, China

• https://orcid.org/0000-0003-0090-1995

autor

Zheng Xin

• Beihang University, School of Reliability and Systems Engineering, Beijing, 100191, China

• https://orcid.org/0000-0001-5186-2282

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).