摘要
基于流水线车间生产调度理论,建立以生产成本为决策变量、以最大化生产利润为目标的数学模型;结合预制构件车间生产的实际情况,设计最优选择法、局部变异算子改进遗传算法,求解最优生产调度方案。某预制构件公司订单生产调度仿真研究表明,基于改进遗传算法的PC构件生产调度优化可以在较短的时间内获得更高的利润,为提高预制构件智能化生产效率提供了技术基础。
Based on the production scheduling theory of the assembly workshop,a mathematical model is established that takes production cost as the decision-making variable and maximizes production profit as the goal.Combined with the actual situation of workshop production,the optimal selection and local variation operators are designed,the genetic algorithm is improved,and the optimal production scheduling scheme is solved.According to the simulation study of order production scheduling of a prefabricated component company,the optimization of PC component production scheduling based on improved genetic algorithm can obtain higher profits in a short period of time,and provide a technical basis for improving the intelligent production efficiency of prefabricated components.
作者
陈继文
张译匀
高晓明
杨红娟
Chen Jiwen;Zhang Yiyun;Gao Xiaoming;Yang Hongjuan(School of Mechanical and Electrical Engineering,Shandong Jianzhu University,Shandong Jinan,250101,China;School of Architecture and Urban Planning,Shandong Jianzhu University,Shandong Jinan,250101,China;School of Information and Electrical Engineering,Shandong Jianzhu University,Shandong Jinan,250101,China)
出处
《机械设计与制造工程》
2024年第1期95-99,共5页
Machine Design and Manufacturing Engineering
基金
国家自然科学基金(51975339)
山东省重大科技创新工程(2019JZ2Y010455)
2020年度新旧动能转换重大工程重大课题攻关项目(高端装备(5))
济南市科技局“高校20条”引进创新团队项目(2019CXR037)。
关键词
混凝土预制构件生产
调度优化
遗传算法
局部变异算子
最优选择法
prefabricated component production
scheduling optimization
genetic algorithm
local mutation operator
optimal selection method
