Study to Cost of Air Spares Support Based on IPSO

• 作者: Aiqin Mu Fuhong Wang Xiaohua Wang Zhongbing Tang
• 来源期刊: 交通科技期刊(英文)
• 学科: 医学
• 关键词: AIR Spares SUPPORT FUND PARTICLE SWARM Optimization
• 年，卷（期）: 2012,（1）
• 页码范围: 75-77
• 页数: 3页
• 分类号: R73

摘要

Air spares support is general term of using and repairing of aircrafts which is the material foundation of aero technical support, its effectiveness influences operational effectiveness and equipments of aircrafts directly. Based on particle swarm optimization algorithm, a new model is proposed to optimize the distribution of the cost of air spares, it take the funds as resource and the improvement of performance efficiency as objective and deduces the expressions to get the best distribution plan. The results of experiments indicate that this model can make full use of the limited funds and obtain the highest efficiency of air spares support.