Data-driven cloud simulation architecture for automated flexible production lines: application in real smart factories
暂无分享,去创建一个
Lei Yue | Zailin Guan | Yeming Gong | Dan Luo | Cong He | Y. Gong | L. Yue | Z. Guan | C. He | D. Luo
[1] Zhaohong Bie,et al. Reliability evaluation of integrated energy systems based on smart agent communication , 2016 .
[2] Chao Zhang,et al. A data- and knowledge-driven framework for digital twin manufacturing cell , 2019, Procedia CIRP.
[3] Dara G. Schniederjans,et al. Cloud computing and its impact on service level: a multi-agent simulation model , 2017, Int. J. Prod. Res..
[4] Gerald T. Mackulak,et al. A simulation-based experiment for comparing AMHS performance in a semiconductor fabrication facility , 2001 .
[5] Dan Luo,et al. Decomposition heuristic for parallel-machine transfer line design with dual-uncertainties-based chance constraints , 2019 .
[6] Matthew P. J. Pepper,et al. A Web-based virtual factory and simulator for industrial statistics , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..
[7] Jordi Pereira,et al. Assembly line balancing with parallel workstations , 2020, Int. J. Prod. Res..
[8] Byung-In Kim,et al. A data-driven generic simulation model for logistics-embedded assembly manufacturing lines , 2011, Comput. Ind. Eng..
[9] Gerald T. Mackulak,et al. Computer Simulation Software Reuse by Generic/Specific Domain Modeling Approach , 1994, Int. J. Softw. Eng. Knowl. Eng..
[10] Lin Li,et al. Bottleneck Detection of Manufacturing Systems Using Data Driven Method , 2007, 2007 IEEE International Symposium on Assembly and Manufacturing.
[11] Jonatan Berglund,et al. Combining point cloud technologies with discrete event simulation , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).
[12] Lei Yue,et al. Automated flexible transfer line design problem: Sequential and reconfigurable stages with parallel machining cells , 2019, Journal of Manufacturing Systems.
[13] Meral Azizoglu,et al. Flexible assembly line design problem with fixed number of workstations , 2011 .
[14] Thomas Schulze,et al. Semi-automatic simulation-based bottleneck detection approach , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).
[15] Hoda A. ElMaraghy,et al. Changeable and reconfigurable manufacturing systems , 2009 .
[16] Jonathan Fournier. Model building with Core Manufacturing Simulation Data , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).
[17] Alexandre Dolgui,et al. Balancing reconfigurable machining lines via a set partitioning model , 2014 .
[18] Seungho Lee,et al. DDDAS-based multi-fidelity simulation framework for supply chain systems , 2010 .
[19] Bon-Gang Hwang,et al. A preliminary prototyping approach for emerging metro-based underground logistics systems: operation mechanism and facility layout , 2020, Int. J. Prod. Res..
[20] Giulia Pedrielli,et al. Integrated virtual platform for manufacturing systems design , 2013 .
[21] Toly Chen,et al. Estimating the simulation workload for factory simulation as a cloud service , 2017, J. Intell. Manuf..
[22] Chao Meng,et al. Data-driven modeling and simulation framework for material handling systems in coal mines , 2013, Comput. Ind. Eng..
[23] Seungho Lee,et al. DDDAS-based multi-fidelity simulation for online preventive maintenance scheduling in semiconductor supply chain , 2007, 2007 Winter Simulation Conference.
[24] Roby Lynn,et al. Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system , 2018, Journal of Manufacturing Systems.
[25] Botond Kádár,et al. Semantic Virtual Factory supporting interoperable modelling and evaluation of production systems , 2013 .
[26] Alexandre Dolgui,et al. Leading scholars in Production Research for the 55th volume anniversary of IJPR , 2018, Int. J. Prod. Res..
[27] Tullio Tolio,et al. Virtual Factory: An Integrated Framework for Manufacturing Systems Design and Analysis☆ , 2013 .
[28] Qian Zhang,et al. A dynamic data-driven application simulation model for oil spill emergency decision in port water area , 2013 .
[29] Lin Li,et al. Data driven bottleneck detection of manufacturing systems , 2009 .
[30] Moreno Marzolla,et al. New trends in parallel and distributed simulation: From many-cores to Cloud Computing , 2014, Simul. Model. Pract. Theory.
[31] Zailin Guan,et al. Rule-guided Tabu Search Algorithm for an Automated Flexible Machining Line Balancing and Configuration Problem , 2017, ICIDE 2017.
[32] Galina Merkuryeva,et al. Vehicle Schedule Simulation with AnyLogic , 2010, 2010 12th International Conference on Computer Modelling and Simulation.
[33] Andreas Schlenkhoff,et al. Data-driven stochastic modeling for multi-purpose reservoir simulation , 2018 .
[34] Yacine Ouzrout,et al. Evolution of 3C Cyber-Physical Systems Architecture for Industry 4.0 , 2018, SOHOMA.
[35] C. He,et al. Branch and bound algorithm for balancing and configuration of an automated flexible machining line , 2018 .
[36] Lei Ren,et al. Real-Time Scheduling of Cloud Manufacturing Services Based on Dynamic Data-Driven Simulation , 2019, IEEE Transactions on Industrial Informatics.
[37] Andrew Y. C. Nee,et al. Digital twin-driven product design framework , 2019, Int. J. Prod. Res..
[38] Nurcin Celik,et al. Sequential Monte Carlo-based fidelity selection in dynamic-data-driven adaptive multi-scale simulations , 2012 .