Citations (15)
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Read on this site (5)
Gustavo Bagni, Moacir Godinho Filho, Matthias Thürer & Mark Stevenson. (2021) Systematic review and discussion of production control systems that emerged between 1999 and 2018. Production Planning & Control 32:7, pages 511-525.
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A.S. Xanthopoulos, G. Chnitidis & D.E. Koulouriotis. (2019) Reinforcement learning-based adaptive production control of pull manufacturing systems. Journal of Industrial and Production Engineering 36:5, pages 313-323.
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Nesrine Azouz, Lorena Silva Belisário, Achraf Ammar & Henri Pierreval. (2018) Addressing over-correction in adaptive card-based pull control systems. International Journal of Computer Integrated Manufacturing 31:12, pages 1189-1204.
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PoTsang B. Huang, James C. Chen, Cheng-Wei Yu & Chih-Cheng Chen. (2016) Integration of simulation and neural network in forecasting the throughput for TFT-LCD colour filter fabs. International Journal of Computer Integrated Manufacturing 29:3, pages 298-308.
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Paolo Renna, Luciano Magrino & Renato Zaffina. (2013) Dynamic card control strategy in pull manufacturing systems. International Journal of Computer Integrated Manufacturing 26:9, pages 881-894.
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Articles from other publishers (10)
Khouloud Elloumi, Chaouki Saidi, Nesrine Azouz & Mounir Benaissa. (2023) An intelligent approach to adapting Kanban cards with fuzzy controller for pull production control. Annals of Operations Research.
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Samia Elattar, Heba G. Mohamed & Shimaa A. Hussien. (2022) A Multi-Objective Optimization of Secure Pull Manufacturing Systems. Applied Sciences 12:12, pages 5937.
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Lorenzo Ragazzini, Elisa Negri & Marco Macchi. (2021) A Digital Twin-based Predictive Strategy for Workload Control. IFAC-PapersOnLine 54:1, pages 743-748.
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Asefeh Hasani Goodarzi & Seyed Hessameddin Zegordi. (2018) Vehicle routing problem in a kanban controlled supply chain system considering cross-docking strategy. Operational Research 20:4, pages 2397-2425.
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Nesrine Azouz & Henri Pierreval. (2019) Adaptive smart card-based pull control systems in context-aware manufacturing systems: Training a neural network through multi-objective simulation optimization. Applied Soft Computing 75, pages 46-57.
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A. S. Xanthopoulos, S. Ioannidis & D. E. Koulouriotis. (2018) Optimal adaptive Kanban-type production control. The International Journal of Advanced Manufacturing Technology 97:5-8, pages 2887-2905.
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A.S. Xanthopoulos, D.E. Koulouriotis & A. Gasteratos. (2017) Adaptive card-based production control policies. Computers & Industrial Engineering 103, pages 131-144.
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Lorena Silva Belisario, Nesrine Azouz & Henri Pierreval. (2015) Adaptive ConWIP: Analyzing the impact of changing the number of cards. Adaptive ConWIP: Analyzing the impact of changing the number of cards.
Potsang B. Huang, Cheng-Wei Yu, James C. Chen, Chih-Cheng Chen, Tzu-Wei Peng, Yu-Yao Wei & Chao-Hsuan Feng. (2012) A simulation assisted neural -networks forecasting system on the optimization between WIP and throughput for TFT-LCD color filter fabs. A simulation assisted neural -networks forecasting system on the optimization between WIP and throughput for TFT-LCD color filter fabs.
James C. Chen, PoTsang B. Huang, Hui‐Yu Peng, Ming‐Chien Hung, Chih‐Cheng Chen, Tzu‐Wei Peng, Yu‐Yao Wei & Chao‐Hsuan Feng. (2012) P‐77: CONWIP for Order Release and WIP Control in Color Filter Fabs. SID Symposium Digest of Technical Papers 42:1, pages 1388-1391.
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