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Articles

Dynamic card control strategy in pull manufacturing systems

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Pages 881-894 | Received 26 Jun 2012, Accepted 14 Apr 2013, Published online: 14 Jun 2013

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Read on this site (7)

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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Matthias Thürer, Nuno O. Fernandes, Mark Stevenson, Ting Qu & Cong Dong Li. (2019) Centralised vs. decentralised control decision in card-based control systems: comparing kanban systems and COBACABANA. International Journal of Production Research 57:2, pages 322-337.
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Matthias Thürer, Nuno O. Fernandes, Nick Ziengs & Mark Stevenson. (2019) On the meaning of ConWIP cards: an assessment by simulation. Journal of Industrial and Production Engineering 36:1, pages 49-58.
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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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Guodong Huang, Jie Chen, Xiuli Wang & Yiqun Shi. (2016) An approach of designing CONWIP loop for assembly system in one-of-a-kind production environment. International Journal of Computer Integrated Manufacturing 29:7, pages 805-820.
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Guodong Huang, Jie Chen, Xiuli Wang & Yiqun Shi. (2015) A simulation study of CONWIP assembly with multi-loop in mass production, multi-products and low volume and OKP environments. International Journal of Production Research 53:14, pages 4160-4175.
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Yacob Khojasteh & Ryo Sato. (2015) Selection of a pull production control system in multi-stage production processes. International Journal of Production Research 53:14, pages 4363-4379.
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Articles from other publishers (11)

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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Khouloud Elloumi, Chaouki Saidi & Mounir Benaissa. (2023) Design of a fuzzy controller for intelligent control of an adaptive ConWIP system. Design of a fuzzy controller for intelligent control of an adaptive ConWIP system.
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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Darwin S. Aldas, John P. Reyes, Luis A. Morales, Kevin M. Alvarez, Narcisa de J. Portalanza & Ricardo J. Aman. (2018) Manufacturing Strategies for an Optimal Pull-Type Production Control System. Case Study in a Textile Industry. Manufacturing Strategies for an Optimal Pull-Type Production Control System. Case Study in a Textile Industry.
Xiaodan Li, Zhongfu Li & Guangdong Wu. (2017) Lean Precast Production System based on the CONWIP Method. KSCE Journal of Civil Engineering 22:7, pages 2167-2177.
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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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Yacob KhojastehYacob Khojasteh. 2016. Production Control Systems. Production Control Systems 7 24 .
Chukwunonyelum Emmanuel Onyeocha, Jiayi Wang, Joseph Khoury & John Geraghty. (2015) A comparison of HK-CONWIP and BK-CONWIP control strategies in a multi-product manufacturing system. Operations Research Perspectives 2, pages 137-149.
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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.

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