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International Journal of Production Research Volume 50, 2012 - Issue 21: Selected Papers from the 21st International Conference on Production Research
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Original Articles

Multi-criteria optimisation-based dynamic scheduling for controlling FMS

Boris Shnits Department of Industrial Engineering and Management, Ort Braude College, PO Box 78, Karmiel 21982, IsraelCorrespondence[email protected]
Pages 6111-6121 | Received 22 Nov 2011, Accepted 12 Jan 2012, Published online: 23 Mar 2012

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Gabriel Zambrano Rey, Abdelghani Bekrar, Vittaldas Prabhu & Damien Trentesaux. (2014) Coupling a genetic algorithm with the distributed arrival-time control for the JIT dynamic scheduling of flexible job-shops. International Journal of Production Research 52:12, pages 3688-3709.
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Articles from other publishers (3)

Hidetoshi Togo, Kohei Asanuma, Tatsushi Nishi & Ziang Liu. (2022) Machine Learning and Inverse Optimization for Estimation of Weighting Factors in Multi-Objective Production Scheduling Problems. Applied Sciences 12:19, pages 9472.
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Jingjing Xu & Lei Wang. (2017) A Feedback Control Method for Addressing the Production Scheduling Problem by Considering Energy Consumption and Makespan. Sustainability 9:7, pages 1185.
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Fei Tao, Lin Zhang & Yuanjun LailiFei Tao, Yuanjun Laili & Lin Zhang. 2015. Configurable Intelligent Optimization Algorithm. Configurable Intelligent Optimization Algorithm 35 80 .

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