Improved multi-fidelity simulation-based optimisation: application in a digital twin shop floor
暂无分享,去创建一个
Lei Yue | Yeming Gong | Zailin Guan | Zhang Zhengmin | Dan Luo | Y. Gong | Zhengmin Zhang | L. Yue | Z. Guan | D. Luo
[1] Yoram Koren,et al. Design of reconfigurable manufacturing systems , 2010 .
[2] Guodong Shao,et al. Digital Twin for Smart Manufacturing: The Simulation Aspect , 2019, 2019 Winter Simulation Conference (WSC).
[3] Chun-Hung Chen,et al. Application of multi-fidelity simulation modelling to integrated circuit packaging , 2016, Int. J. Simul. Process. Model..
[4] Athanasios V. Vasilakos,et al. A Manufacturing Big Data Solution for Active Preventive Maintenance , 2017, IEEE Transactions on Industrial Informatics.
[5] John S. Morris,et al. A simulation analysis of the effectiveness of drum-buffer-rope scheduling in furniture manufacturing , 1994 .
[6] Loo Hay Lee,et al. An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).
[7] Loo Hay Lee,et al. Efficient multi-fidelity simulation optimization , 2014, Proceedings of the Winter Simulation Conference 2014.
[8] Jie Song,et al. A simulation optimisation on the hierarchical health care delivery system patient flow based on multi-fidelity models , 2016 .
[9] Abdulmotaleb El Saddik,et al. C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems , 2017, IEEE Access.
[10] Peihua Gu,et al. Social manufacturing as a sustainable paradigm for mass individualization , 2016 .
[11] Jie Xu,et al. Multi-fidelity sampling for efficient simulation-based decision making in manufacturing management , 2019, IISE Trans..
[12] Pingyu Jiang,et al. RFID-based production data analysis in an IoT-enabled smart job-shop , 2018, IEEE/CAA Journal of Automatica Sinica.
[13] Yunhao Liu,et al. Big Data: A Survey , 2014, Mob. Networks Appl..
[14] Loo Hay Lee,et al. An ordinal transformation framework for multi-fidelity simulation optimization , 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).
[15] Qiang Liu,et al. Cloud Manufacturing Service System for Industrial-Cluster-Oriented Application , 2014 .
[16] Loo Hay Lee,et al. MO2TOS: Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling , 2016, Asia Pac. J. Oper. Res..
[17] Lu Zhen,et al. Improving the efficiency of evolutionary algorithms for large-scale optimization with multi-fidelity models , 2016, 2016 Winter Simulation Conference (WSC).
[18] Hao Huang,et al. Multi-fidelity simulation optimization with level set approximation using probabilistic branch and bound , 2017, 2017 Winter Simulation Conference (WSC).
[19] Xuedong Liang,et al. An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment , 2015 .
[20] Chih-Tsung Kuo. Bottlenecks in production systems: A systems approach. , 1996 .
[21] Philippe Mathieu,et al. An Interaction-Oriented Model for Multi-Scale Simulation , 2011, IJCAI.
[22] Chao Zhang,et al. Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing , 2019, Int. J. Prod. Res..
[23] Christian A. Yates,et al. An adaptive multi-level simulation algorithm for stochastic biological systems. , 2014, The Journal of chemical physics.
[24] Xin Chen,et al. Digital Twin-Driven Cyber-Physical System for Autonomously Controlling of Micro Punching System , 2019, IEEE Access.
[25] Qiang Liu,et al. Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop , 2018, Journal of Ambient Intelligence and Humanized Computing.
[26] Marc Priggemeyer,et al. Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0 , 2018, IEEE Transactions on Industrial Informatics.
[27] Chao Liu,et al. Web-based digital twin modeling and remote control of cyber-physical production systems , 2020, Robotics Comput. Integr. Manuf..
[28] Meng Zhang,et al. Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing , 2017, IEEE Access.
[29] Jie Song,et al. An efficiency and convergence analysis of multi-fidelity optimization with ordinal transformation and optimal sampling , 2016, 2016 IEEE International Conference on Industrial Technology (ICIT).
[30] Chao Meng,et al. Data-driven modeling and simulation framework for material handling systems in coal mines , 2013, Comput. Ind. Eng..
[31] Loo Hay Lee,et al. Multi-objective multi-fidelity optimization with ordinal transformation and optimal sampling , 2015, 2015 Winter Simulation Conference (WSC).
[32] Xin Chen,et al. A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line , 2017, IEEE Access.
[33] Qingfu Zhang,et al. A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems , 2016, J. Comput. Sci..
[34] Qiang Liu,et al. Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system , 2019, Int. J. Prod. Res..
[35] Loo Hay Lee,et al. A hierarchical modeling paradigm for multi-fidelity simulation of mega container terminals , 2017, 2017 IEEE/SICE International Symposium on System Integration (SII).
[36] Pingyu Jiang,et al. Combining granular computing technique with deep learning for service planning under social manufacturing contexts , 2017, Knowl. Based Syst..
[37] Wouter Joosen,et al. Robust Digital Twin Compositions for Industry 4.0 Smart Manufacturing Systems , 2018, 2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW).
[38] Yan Wang,et al. Hidden Markov model-based autonomous manufacturing task orchestration in smart shop floors , 2020, Robotics Comput. Integr. Manuf..
[39] Daqiang Zhang,et al. Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.
[40] Fei Tao,et al. Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.
[41] Jian Zhang,et al. How to model and implement connections between physical and virtual models for digital twin application , 2020 .
[42] Alexander Verbraeck,et al. From data to simulation models: Component-based model generation with a data-driven approach , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).