基于CML模型的编队器材携带方案优化方法

随船备件配置优化问题研究目前主要集中在只有定量或定性约束上,而对既有定性约束又有定量约束的混合约束问题未见文章提及,同时研究对象多为单船,而对舰艇编队研究比较少。针对此问题,以舰艇编队出海任务准备阶段为背景,以保障费用、舰艇仓库空间、舰艇最大排水量及舰员维修能力作为模型的约束条件,以编队备件保障概率为目标函数,采用正态逆向云模型、边际效应法及拉格朗日乘子法(称为CML模型)对此类问题进行求解,给出系统资源因子求解步骤及分析方法,并对本模型进行动态调整和优化。实例分析表明本模型求解方法和步骤可以为多个定量和定性约束下舰船备件携带问题提供新的参考。

Optimization method of carrying maintenance material support project for Warship formation based on CML model

Most of the studies published in this area focus on multi-constraints, where either qualitative or quantitative condition, is taken into consideration. Nevertheless, the mix-conditions have not been reported to the best of our knowledge from the literatures. The researches usually concern the single warship, but fewer to research about the warship formation. Therefore, go to a step further researches is still need. In view of this problem, the warship formation carrying spare parts at the mission preparation before sailing is taken as a research background, the warship formation support cost, warship storage space, warship carrying ability and maintenance per hour cost are adopted as mixed-constraints conditions, spare parts support probability is served as the objective function. Normal reverse distribution cloud model, marginal effect and Lagrange multiplier methods(CML model) are used to solve such warship formation spare parts allotment problem, A method is proposed for the determination and dynamical updating of system resource constraint factors, meanwhile, the selecting methods and calculating process of the model is optimized. At last, the reliability of the method which can provide the new try for the problem of warship formation spare parts allotment was proved by an actual case.