理想的随船备件库存配置方案应该通过多约束条件与优化目标之间的综合权衡得到, 在传统的随船备件库存优化模型中常以使用可用度、平均等待时间、延期交货量、费效比等作为优化目标,但国内使用部门及型号研制单位在制定随船备件库存方案时常以备件保障概率作为优化目标确定装备备件库存方案.为解决上述问题,首先分析了目标函数及约束条件; 然后构建了以备件保障概率为目标函数的随舰备件库存优化模型并应用拉格朗日乘子法及边际效应法原理给出了随船备件库存模型计算及优化流程; 其次,运用罚函数原理对保障资源约束因子进行了确定及动态调整; 最后,通过对案例结果进行分析,验证了该研究方法的可行性.
Abstract
A sound warship spare parts allotment optimization project is the result of cost efficient tradeoff between multi-constraints and optimal objective. In the conventional Warship spare parts allotment optimization models, the operational availability and the mean waiting time for spares and expect back order are always the target, but these parameters are rarely used by the domestic use department and model development unit to confirm the warship spare parts allotment project. In order to solve all the problems which are mentioned above, firstly, objective function and constraint conditions are analyzed; Secondly, an optimized model of the probability spare guarantee is built, Lagrange and marginal algorithm are applied to build the warship spare parts allotment optimization model and process optimization; Once more, the resource factors are being confirmed and dynamically updated; Finally, in the given example, by analyzing the results of the case, the feasibility of the proposed method is verified.
关键词
随船备件 /
多约束 /
备件保障概率 /
边际算法 /
拉格朗日乘子法 /
资源约束 /
配置优化
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Key words
warship spare parts /
multi-constraints /
fill rate /
marginal analysis /
Lagrange /
resource constraint /
configuration optimization
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中图分类号：
U674.7
E917
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参考文献
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脚注
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基金
国家部委资助项目(513030203-01); 国家自然科学基金(50906099)
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