摘要
随着智能制造技术的发展,定制化生产占比明显提高。为缩短工期提高市场竞争力,焊接车间内机器人焊接、人工焊接同时参加排产,具备协同作业条件。在智能制造环境下,为充分发挥焊接设备和操作人员柔性优势,建立了面向协同作业的智能制造焊接车间调度数学模型。以最小化最大完工时间和焊接能耗为目标,采用改进的差分算法进行求解,求解过程中检验并修正差分过程中出现的不可行实验个体,利用自适应差分缩放因子在进化前期提高种群的多样性、在后期加快收敛速度。最后通过实例验证了协同作业调度的可行性和有效性。
The proportion of customized production has increased significantly along with the development of intelligent manufacturing technology.In order to shorten the construction period and improve the market competitiveness,robot welding workstation and manual welding participate in production scheduling at the same time.Collaborative operations are implementable in welding shops.In the intelligent manufacturing environment,in order to take advantage of resource flexibility,a mathematical model of welding shop scheduling for collaborative operation was established.The objective function minimized maximum completion time and welding energy consumption.The improved differential evolution algorithm was used to solve the problem.And the infeasible experimental individual was checked and corrected in the calculation process.The adaptive differential scaling factor was used to improve the diversity of the population in the early stage of evolution and accelerate the convergence rate in the later stage.Finally,the feasibility and effectiveness of collaborative operation scheduling were verified by an example.
作者
周珂
吕民
夏自祥
李小冬
ZHOU Ke;LV Min;XIA Zi-xiang;LI Xiao-dong(Department of Mechanical Engineering,Jining University,Shandong Qufu273155,China;School of Mechatronics Engineering,Harbin Institute of Technology,Heilongjiang Harbin150001,China)
出处
《机械设计与制造》
北大核心
2021年第3期77-80,共4页
Machinery Design & Manufacture
基金
国家重点研发计划重点专项(VP13KJ1110Y18001)。
关键词
焊接车间调度
差分进化算法
焊接协同作业
可移动设备排产
工序合并
Welding Shop Scheduling
Differential Evolution Algorithm
Welding Collaborative Operation
Mobile Device Scheduling
Production Merging