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Robustness of maintenance support service networks: attributes, evaluation and improvement
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7458-6820
College of Mechanical and Electronic Engineering, China University of Petroleum, PR China.
Department of Management Science, University of Strathclyde, Glasgow G1 1XQ, U.K.
2021 (English)In: Reliability Engineering & System Safety, ISSN 0951-8320, E-ISSN 1879-0836, Vol. 210, article id 107526Article in journal (Refereed) Published
Abstract [en]

Maintenance support service network (MSSN) is used to provide maintenance services and maintain the operational status of equipment. However, the performance of MSSN has been significantly influenced by inevitable disturbance, which makes it vital to maintain its robustness. Existing research on robustness of MSSN mainly focuses on single-layer rather than two-layer network, which imposes constraints on the disturbances and limits its application. To solve these issues, this study develops a two-layer MSSN, consisting of a directed entity-layer and an undirected cyber-layer focusing on supporting maintenance service. A definition of robustness for two-layer MSSN is proposed, and effect propagation models are established to evaluate its robustness of MSSN, followed by its improvement strategies. In particular, two strategies applied in the single-layer MSSN are modified to adapt to the two-layer MSSN, and a novel greedy partnership building approach is proposed to find an optimal strategy under cascading failure, to maintain the robustness of MSSN from a complex network perspective. Finally, numerical examples are presented to illustrate the effectiveness of the proposed approach.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 210, article id 107526
Keywords [en]
Maintenance, Robustness, Maintenance support service networks, Complex network, Cascading failure
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-82854DOI: 10.1016/j.ress.2021.107526ISI: 000663909400030Scopus ID: 2-s2.0-85100459876OAI: oai:DiVA.org:ltu-82854DiVA, id: diva2:1527177
Funder
The Research Council of Norway, 309628
Note

Validerad;2021;Nivå 2;2021-02-12 (alebob);

Finansiär: National Key Research and Development Program of China (2019YFE0105100)

Available from: 2021-02-10 Created: 2021-02-10 Last updated: 2021-07-16Bibliographically approved

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Fan, DongmingLin, Jing

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