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.

Chemical Engineering Department Gokongwei College of Engineering De La Salle University 2401 Taft Avenue 0922 Manila Philippines

Chemical Engineering Department Research Center for the Natural and Applied Sciences University of Santo Tomas España Blvd 1015 Manila Philippines

Sustainable Process Integration Laboratory SPIL NETME Centre Faculty of Mechanical Engineering Brno University of Technology VUT Brno Technická 2896 2 616 69 Brno Czech Republic

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