国内外针对随船备件配置优化问题的研究目前主要集中在只有定性或定量约束上,而对既有定性又有定量约束的混合问题研究比较少.首先以舰船出海任务准备阶段为背景,以保障费用、仓库空间、载荷及维修能力为约束条件,以备件保障概率为目标函数,建立了约束因素判断矩阵并进行一致性检验,运用专家打分、归一化及边际效应法对模型进行求解;其次提出了一种系统资源约束因子确定、动态调整的方法,并对模型算法进行了优化;最后通过案例分析验证了本文提供的方法能够为解决混合约束下随船备件配置优化问题提供新的尝试. At home and abroad, the research on the optimization of onboard spare parts configuration is mainly focused on only qualitative or quantitative constraints, but few on the hybrid problems with both qualitative and quantitative constraints.Firstly, Security cost, storage space, load and maintenance ability as constraint conditions, and the probability of spare part support as objective function, the judgment matrix of constraint factors was established and tested for consistency. The model was solved by expert scoring, normalization and marginal effect method. Secondly, a method of determining and dynamically adjusting system resource constraints is proposed and the model algorithm is optimized. Finally, the case study shows that the method provided in this paper can provide a new attempt to solve the configuration optimization problem of the onboard spare parts under mixed constraints .