基于模糊原理和蚁群算法的备件配置优化研究  

Optimizing Spare Parts Research Based on Fuzzy Theory and Ant Colony Algorithm

作　　者：张倩[1,2] 陈桂明 颜宁[2] 苏保忠 

机构地区：[1]第二炮兵工程大学装备管理教研室 [2]装备研究院 [3]96117部队

出　　处：《计算机技术与发展》2013年第3期45-48,共4页Computer Technology and Development

基　　金："十二五"国防预研重点资助项目(2011222023)

摘　　要：根据装备维修备件实际特点,针对备件重要性评价不易、建立备件配置模型较难等问题,提出运用模糊原理和蚁群算法建立备件重要性评价模型和备件数量配置模型,对装备维修备件配置进行定量研究。通过计算三角模糊数优势度构造模糊判断互补矩阵,量化备件间重要性程度,并构造蚁群算法计算模型计算备件配置数,获取最优配置方案。研究表明,使用三角模糊数进行备件间重要性评价,可以改善判断柔性,蚁群算法计算模型配置结果符合实际,决策结果可为决策者提供技术支持,有利于提高装备维修保障力量配置效率,充分发挥备件资源的作用。Based on the character of maintenance spare parts, in view of the problems of difficultly evaluating the importance of mainte nance spare parts and building the model of spare parts support, fuzzy theory and ant colony algorithm were applied to build the model for studying the importance and optimizing support of spare parts, research the allocation work quantificationally. Triangular fuzzy number can be used to construct the complementary judgment matrix based on the analysis of dominance degree which quantifies the importance of spare parts. The ant algorithm model of spare parts support can calculate the best configure scheme. The results show that triangular fuzzy number is fit to evaluate the importance of spare parts and it can improve the evaluation effect. And the allocation result by ant algo rithm model satisfies the fact,it provides technique support for decisionmaking. It is benefit to advance the maintenance support efficien cy and exert the function of maintenance resources adequately.

关 键 词：三角模糊数 蚁群算法 备件配置 费用 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]