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Chin, H.H., Varbanov, P.S., Klemeš, J.J., Benjamin, M.F.D., Tan, R.
Original Title
Asset maintenance optimisation approaches in the chemical and process industries - A review
Type
journal article in Web of Science
Language
English
Original Abstract
The operational performance of a chemical process plant highly depends on the assets' condition and maintenance practices. As chemical processes are highly complex systems, increasing the risk frequencies and their interactions, the maintenance planning becomes crucial for stable operation. This paper provides a critical analysis of the recently developed approaches for asset maintenance approaches in the chemical industry. The strategies include corrective maintenance, time-based, risk-based, condition-based and opportunistic maintenance. Various methods on selecting the optimal maintenance strategy are discussed as well. This paper also evaluates reliability issues in chemical plants and integrated sites encompassing the maintenance optimisation. Several directions for potential future improvements are proposed based on this analysis, as follows: (i) potential study of exploiting production or other opportunities to postpone or conduct earlier maintenance; (ii) joint optimisation of spare part ordering strategy and data-driven maintenance planning study is needed; (iii) fault propagation modelling of structural dependent units to facilitate proper maintenance planning; (iv) a framework or tool that consider quantitative and qualitative time-variant data inputs is lacking for business-informed asset maintenance. (c) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Keywords
Asset lifecycle analysis; Reliability optimisation; Maintenance scheduling; Chemical process; Asset maintenance management; Integrated chemical sites
Authors
Released
1. 12. 2020
Publisher
ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Location
ISBN
0263-8762
Periodical
CHEMICAL ENGINEERING RESEARCH & DESIGN
Number
164
State
United Kingdom of Great Britain and Northern Ireland
Pages from
162
Pages to
194
Pages count
33
URL
https://www.sciencedirect.com/science/article/abs/pii/S0263876220304986?via%3Dihub
BibTex
@article{BUT168077, author="Hon Huin {Chin} and Petar Sabev {Varbanov} and Jiří {Klemeš}", title="Asset maintenance optimisation approaches in the chemical and process industries - A review", journal="CHEMICAL ENGINEERING RESEARCH & DESIGN", year="2020", number="164", pages="162--194", doi="10.1016/j.cherd.2020.09.034", issn="0263-8762", url="https://www.sciencedirect.com/science/article/abs/pii/S0263876220304986?via%3Dihub" }