摘要
汽车总装线的合理安排对保证装配效率及质量,降低生产成本等有着重要的现实意义,结合2018年全国大学生数学建模竞赛D题探讨了汽车总线路的优化配置问题,通过量化装配要求构造出约束条件及目标函数,进而构建出符合各属性装配要求且成本较低的装配顺序的优化模型,利用遗传算法求解,实现最优化生产。
Reasonable arrangement of automobile assembly operations is meaningful to ensure assembly efficiency and quality and reduce the production cost. In this paper, we research the optimal configuration problems of automobile assembly operations, based on the Problem D of 2018 CUMUM. Firstly, we study the constraints and objective functions by quantifying assembly requirements. Then the optimisation models of assembly sequence is presented, which meets the assembly requirements of various attributes and has lower cost. Finally, we use the genetic algorithm to solve the problem and realize the optimal production.
作者
董慧
唐云芳
DONG Hui;TANG Yunfang(Anhui Technical College of Industry and Economy,Hefei 230001,China;China Jiliang University,Hangzhou 310018,China)
出处
《安阳工学院学报》
2020年第2期5-8,共4页
Journal of Anyang Institute of Technology
基金
国家自然科学基金:图的点边赋权问题研究(NSFC11701543)
安徽省教学研究项目:以数学建模竞赛为依托深化高等数学课程改革(2018jyxm0106)。
关键词
装配顺序
优化模型
遗传算法
assembly sequence
optimisation model
genetic algorithm
