摘要
近年来,复杂制造系统及其自动化、智能化和定制化等优势在汽车制造、芯片制造、机器人等领域得到了广泛关注,其建模与优化问题也已成为国内外的研究热点。本文首先介绍了复杂制造系统的研究现状和典型场景应用,比如设备管理、生产过程自动化和生产调度管理。紧接着汇总了常见的建模与优化方法以及所解决的实际工程问题,特别是深度学习、强化学习和合作博弈等方法在复杂制造系统建模与优化中的应用。最后,对复杂制造系统建模和优化问题进行了展望。
Recently,complex manufacturing systems have attracted widespread attention in automobile manufacturing,chip manufacturing,robotics,and other fields due to their advantages of automation,intellectualization,and customizable operation.Modeling and optimization have also become hotspots for research both at home and abroad.In this study,the research background and some typical scenario applications of complex manufacturing systems,such as equipment management,process automation,and scheduling management,are first introduced.Then,modeling and optimization methods and their corresponding practical engineering problems are summarized,especially the application of deep learning,reinforcement learning,and cooperative game in the modeling and optimization of complex manufacturing systems.Finally,the modeling and optimization problems of complex manufacturing systems are summarized,and future research directions on complex manufacturing systems are proposed.
作者
于青云
赵慧
许佳
龚炜
李莉
YU Qingyun;ZHAO Hui;XU Jia;GONG Wei;LI Li(College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China)
出处
《信息与控制》
CSCD
北大核心
2023年第1期1-17,共17页
Information and Control
基金
国家自然科学基金(72171172,62088101)
上海市发展与改革委员会重大专项(2021SHZDZX0100)
上海市科学技术委员会先导项目(19511132101)。
关键词
复杂制造系统
建模与优化
深度学习
强化学习
合作博弈
complex manufacturing system
modelling and optimization
deep learning
reinforcement learning
cooperative game
