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.

化学加工厂的运营绩效在很大程度上取决于资产的状况和维护实践。由于化学工艺是高度复杂的系统，风险频率及其相互作用不断增加，因此维护计划对于稳定运行至关重要。本文对化学工业中最近开发的资产维护方法进行了批判性分析。这些策略包括纠正性维护、基于时间的维护、基于风险的维护、基于条件的维护和机会性维护。还讨论了选择最佳维护策略的各种方法。本文还评估了化工厂和综合场所的可靠性问题，包括维护优化。根据该分析，提出了未来潜在改进的几个方向，如下：（i）利用生产或其他机会推迟或提前进行维护的潜在研究； (ii) 需要联合优化备件订购策略和数据驱动的维护计划研究； (iii) 结构相关单元的故障传播模型，以促进适当的维护计划； (iv) 对于业务知情的资产维护，缺乏考虑定量和定性时变数据输入的框架或工具。