基于模糊理论的并行耦合设计任务工期优化  

Task duration optimization of parallel coupling design based on fuzzy theory

作　　者：田启华 祝威 梅月媛 杜义贤 周祥曼 TIAN Qihua;ZHU Wei;MEI Yueyuan;DU Yixian;ZHOU Xiangman(College of Mechanical and Power Engineering,China Three Gorges University,Yichang 443002,CHN;Fujian Electric Power Transmission&Transformation Engineering Company Limited,Fuzhou 350013,CHN)

机构地区：[1]三峡大学机械与动力学院,湖北宜昌443002 [2]福建省送变电工程有限公司,福建福州350013

出　　处：《制造技术与机床》2018年第11期132-136,共5页Manufacturing Technology & Machine Tool

基　　金：国家自然科学基金资助项目(51475265)

摘　　要：针对耦合设计任务执行工期的不确定性,应用模糊理论,并结合并行耦合迭代模型,建立并行耦合设计任务模糊工期模型。采用相离度和质心相结合的排序方法求解该模型,得到每次迭代返工的关键任务,通过对关键任务投入更多资源来实现设计任务工期的优化。以某飞行器的开发过程为例,验证了该方法的有效性。Aiming at the uncertainty of task execution duration for coupling design,a fuzzy task duration model is established for parallel coupled design by using fuzzy theory and parallel coupled iterative model.This model is solved by using a ranking method combining the deviation degree with the centroid.The key tasks of each iteration rework are obtained and the optimization of design task duration is achieved by putting more resources into the key tasks.The validity of the method is verified by the example of the development process of an aircraft.

关 键 词：任务工期 模糊理论 并行耦合设计 迭代模型 优化 

分 类 号：TH12[机械工程—机械设计及理论]