计算机技术与发展Issue(3)：45-48,4.DOI:10.3969/j.issn.1673-629X.2013.03.012
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
摘要
Abstract
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 decision-making. 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Key words
triangular fuzzy number/ant colony algorithm/spare parts support/fee分类
信息技术与安全科学引用本文复制引用
张倩,陈桂明,颜宁,苏保忠..基于模糊原理和蚁群算法的备件配置优化研究[J].计算机技术与发展,2013,(3):45-48,4.基金项目
"十二五"国防预研重点资助项目(2011222023) （2011222023）
