Manifold learning based rescheduling decision mechanism for recessive disturbances in RFID-driven job shops
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DOI: 10.1007/s10845-016-1194-1
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References listed on IDEAS
- Akturk, M. Selim & Gorgulu, Elif, 1999. "Match-up scheduling under a machine breakdown," European Journal of Operational Research, Elsevier, vol. 112(1), pages 81-97, January.
- Sabuncuoglu, I. & Bayiz, M., 2000. "Analysis of reactive scheduling problems in a job shop environment," European Journal of Operational Research, Elsevier, vol. 126(3), pages 567-586, November.
- Suwa, Haruhiko, 2007. "A new when-to-schedule policy in online scheduling based on cumulative task delays," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 175-186, October.
- Herroelen, Willy & Leus, Roel, 2005. "Project scheduling under uncertainty: Survey and research potentials," European Journal of Operational Research, Elsevier, vol. 165(2), pages 289-306, September.
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- Rami Naimi & Maroua Nouiri & Olivier Cardin, 2021. "A Q-Learning Rescheduling Approach to the Flexible Job Shop Problem Combining Energy and Productivity Objectives," Sustainability, MDPI, vol. 13(23), pages 1-36, November.
- Yaliang Wang & Xinyu Fan & Chendi Ni & Kanghong Gao & Shousong Jin, 2023. "Collaborative optimization of workshop layout and scheduling," Journal of Scheduling, Springer, vol. 26(1), pages 43-59, February.
- Ming Zhang & Yang Lu & Youxi Hu & Nasser Amaitik & Yuchun Xu, 2022. "Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
- D.-Y. Kim & J.-W. Park & S. Baek & K.-B. Park & H.-R. Kim & J.-I. Park & H.-S. Kim & B.-B. Kim & H.-Y. Oh & K. Namgung & W. Baek, 2020. "A modular factory testbed for the rapid reconfiguration of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 661-680, March.
- Juan Pablo Usuga Cadavid & Samir Lamouri & Bernard Grabot & Robert Pellerin & Arnaud Fortin, 2020. "Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1531-1558, August.
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Keywords
Rescheduling decision mechanism; Recessive disturbances; Manifold learning; SLLE; RFID;All these keywords.
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