Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 181, Issue -, Pages 181-201Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2018.09.009
Keywords
Asset management; Maintenance; Multi-unit; Multi-asset; Fleet; Portfolio; System dependence; Multi-objective; Optimisation; Multi-criteria decision analysis
Funding
- Department of Mathematics, Mahidol University
- BT through the Prosperity Partnership award - Next Generation Converged Digital Infrastructure [EP/R004935/1]
- EPSRC [EP/N021614/1]
- Innovate UK through the Innovation and Knowledge Centre for Smart Infrastructure and Construction [EP/N021614/1]
- SustainOwner (Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership) - EU Framework Programme Horizon 2020, MSCA-RISE-2014: Marie Skodowska-Curie Research and Innovation Staff Exchange (RISE) [645733 Sustain-owner H2020-MSCA-RISE-2014]
- EPSRC [EP/I019308/1, EP/K000314/1, EP/L010917/1, EP/R004935/1, EP/N021614/1] Funding Source: UKRI
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This article gives an overview of the literature on asset management for multi-unit systems with an emphasis on two multi-asset categories: fleet (a system of homogeneous assets) and portfolio (a system of heterogeneous assets). As asset systems become more complicated, researchers have employed different terms to refer to their specific problems. With an objective to facilitate readers in searching conducive studies to their interests, this paper establishes a novel classification scheme for multi-unit systems in accordance with essential features such as diversity of assets and intervention options. Moreover, discerning differences in characteristics between cross component and cross-asset interactions, we select three types of potential multi-component dependencies (performance, stochastic, and resource) and extend their notions to be applicable to multi-asset systems. The investigation into these dependencies enables the identification of problems that could exist in real industrial settings but are yet to be determined in academia. Ultimately, we delve into modelling approaches adopted by previous researchers. This comprehensive information allows us to offer the insights into the current trends in multi-asset maintenance. We expect that the output of this review paper will not only stress research gaps in multi-asset systems, but more importantly help systematise future studies on this aspect.
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