针对变工况串行多工序制造系统，引入备件共享下库存缺货概率分布演化机制，构建单设备变工况维护决策模型，获取各设备最优维护时间点，据此建立系统维护时机判定机制，进而基于静动结合的备件库存阈值与组合扩散双时间窗策略，针对各时机建立静动结合的系统机会维护决策模型，通过最小化规划期内的维护成本率，获取系统的优化维护方案和备件库存。实例分析表明，静动结合的机会维护策略在滚动更新的变工况制造环境中更具优势。

For a serial multi-process manufacturing system under variable operating conditions, the evolutionary mechanism of inventory stockout probability distribution with spare part sharing is introduced. A variable operating condition maintenance decision model for a single equipment is established to obtain the optimal maintenance time of each equipment, and a system maintenance opportunity judgment mechanism is proposed accordingly. Furthermore, combined with the static-dynamic spare parts inventory threshold and the combined-diffused dual time window strategy, a static-dynamic integrated system opportunistic maintenance decision model is developed for each maintenance opportunity. The optimal system maintenance scheme and spare parts inventory are obtained by minimizing the maintenance cost rate within the planning horizon. The case study shows that the static-dynamic combined opportunistic maintenance strategy is more superior in the rolling updated variable operating condition manufacturing environment.