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Asset maintenance optimisation approaches in the chemical and process industries - A review

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU138588" target="_blank" >RIV/00216305:26210/20:PU138588 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/abs/pii/S0263876220304986?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0263876220304986?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cherd.2020.09.034" target="_blank" >10.1016/j.cherd.2020.09.034</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Asset maintenance optimisation approaches in the chemical and process industries - A review

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    CHEMICAL ENGINEERING RESEARCH & DESIGN

  • ISSN

    0263-8762

  • e-ISSN

    1744-3563

  • Volume of the periodical

    neuveden

  • Issue of the periodical within the volume

    164

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    33

  • Pages from-to

    162-194

  • UT code for WoS article

    000593767200013

  • EID of the result in the Scopus database

    2-s2.0-85092701150