基于混合算法的民机数字化装配生产计划研究  

Research on digital assembly production planning of civil aircraft based on hybrid algorithm

作　　者：张玮[1] 李艳军[1] 江天玥 Zhang Wei;Li Yanjun;Jiang Tianyue(College of Civil Aviation, Nanjing Universityof Aeronautics and Astronautics,Jiangsu Nanjing, 211100, China;College of Economics and Management, Nanjing Universityof Science and Technology,Jiangsu Nanjing, 210094, China)

机构地区：[1]南京航空航天大学民航学院,江苏南京211100 [2]南京理工大学经济管理学院,江苏南京210094

出　　处：《机械设计与制造工程》2020年第7期83-86,共4页Machine Design and Manufacturing Engineering

摘　　要：对民机数字化装配现场生产计划优化进行研究,结合企业已有的生产现场管控系统采集影响装配生产效率的关键因素信息,将多个目标进行归一化处理,构建多目标民机装配生产调度模型;针对民机数字化装配现场管控的实际情况对遗传算法进行改进,并在其中加入退火过程,设计出改进的遗传与模拟退火的混合算法,对多目标民机装配生产调度模型进行优化计算,并以某民机装配企业为例,进行仿真与求解。This paper studies optimization of production plan for digital assembly of civil aircraft.It combines the existing production management and control system to collect the information of the key factors affecting the assembly production efficiency,and constructs the multi-objective production scheduling model of civil aircraft assembly by normalizing the multiple targets.According to the actual situation of digital assembly field management and control of civil aircraft,the genetic algorithm is improved with annealing process.It designs the hybrid algorithm of improved genetic algorithm and simulated annealing algorithm to optimize the production scheduling model of multi-objective civil aircraft assembly,and a civil aircraft assembly enterprise is taken as an example for simulation and solution.

关 键 词：民机数字化装配 现场管控 生产计划 混合遗传算法 

分 类 号：V268[航空宇航科学与技术—航空宇航制造工程] TP27[自动化与计算机技术—检测技术与自动化装置]