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机构地区:[1]海军工程大学
出 处:《航空制造技术》2009年第12期83-86,95,共5页Aeronautical Manufacturing Technology
摘 要:装备维修性由含有多个参数的指标体系决定,其增长方案的优选属于多属性优化决策的范畴。数据包络分析理论以客观评价多属性参评单元和固有包容性见长,将它应用于装备维修性增长投入方案优化,不仅能对现有各方案进行优劣排序,而且可通过建立前沿面,指出非最优方案样本的具体问题所在及其改进的方向和程度,使得改进后的维修性增长方案相对于样本方案系列为最优。进一步地,还可据此对未来决策单元的可行性和改进措施等给出判断和精确指导。The maintainability of equipment is determined by a series of indexes, the scheme of maintainability rise should derive from multi-properties optimization. The theory of data envelopment analysis (DEA) is good at evaluating the units with multiproperties. Used in scheme optimization of maintainability rise, the theory of DEA can not only rank all sample schemes but also show clearly the shortcomings and reform trend for the non-classic schemes by building frontier, and then make the non-classic schemes be best among all sample schemes after the shortcomings adjusted. Then the feasibility and adjust measure for suppositional decision making units could be obtained based on the foregone samples with the help of theory of DEA.
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