In this study, a new strategic model called Markov-based cold standby combined with components mixing (RRAP-CM-MCCS), is proposed to improve system reliability. The optimization method used here is simplified swarm optimization (SSO), in which SSO adopts a multi-role resource sharing strategy to provide the diverse system components required by RRAP-CM-MCCS. The diversity here lies in providing every component in a subsystem with its own failure rate as a decision variable in addition to determining the corresponding reliability of each component. Consequently, compared to the state-of-the-art results in the literature, not only can the system reliability be improved, but the combination of multiple configurations also enables relevant required resources to be saved.

在这项研究中，提出了一种新的战略模型，称为基于马尔可夫的冷备用结合组件混合 (RRAP-CM-MCCS)，以提高系统可靠性。这里使用的优化方法是简化群优化（SSO），其中 SSO 采用多角色资源共享策略来提供 RRAP-CM-MCCS 所需的多样化系统组件。这里的多样性在于为子系统中的每个组件除了确定每个组件的相应可靠性之外，还提供其自身的故障率作为决策变量。因此，与文献中的state-of-the-art结果相比，不仅可以提高系统可靠性，而且多种配置的组合还可以节省相关的所需资源。