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Multi-faceted modelling for strip breakage in cold rolling using machine learning
Chen, Zheyuan; Liu, Ying; Valera-Medina, Agustin; … - In: International journal of production research 59 (2021) 21, pp. 6347-6360
Persistent link: https://www.econbiz.de/10012652739
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A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems
Wu, Cheng-Hung; Zhou, Fang-Yi; Tsai, Chi-Kang; Yu, … - In: International journal of production research 58 (2020) 9, pp. 2822-2840
Persistent link: https://www.econbiz.de/10012265273
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Big data driven jobs remaining time prediction in discrete manufacturing system : a deep learning-based approach
Fang, Weiguang; Guo, Yu; Liao, Wenhe; Ramani, Karthik; … - In: International journal of production research 58 (2020) 9, pp. 2751-2766
Persistent link: https://www.econbiz.de/10012265268
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A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers
Medhi, Pankaj Kumar; Mondal, Sandeep - In: International journal of production research 54 (2016) 19/20, pp. 6071-6081
Persistent link: https://www.econbiz.de/10011543743
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Robust modelling and prediction of the COVID-19 pandemic in Canada
Khalilpourazari, Soheyl; Doulabi, Hossein Hashemi - In: International journal of production research 61 (2023) 24, pp. 8367-8383
Persistent link: https://www.econbiz.de/10014454444
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A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches
Kosasih, Edward Elson; Papadakis, Emmanuel; Baryannis, … - In: International journal of production research 62 (2024) 4, pp. 1510-1540
Persistent link: https://www.econbiz.de/10014458567
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Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain
Badakhshan, Ehsan; Humphreys, Paul; Maguire, Liam; … - In: International journal of production research 58 (2020) 17, pp. 5253-5279
Persistent link: https://www.econbiz.de/10012266154
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A meta-reinforcement learning method by incorporating simulation and real data for machining deformation control of finishing process
Liu, Changqing; Li, Yingguang; Huang, Chong; Zhao, Yujie; … - In: International journal of production research 61 (2023) 4, pp. 1114-1128
Persistent link: https://www.econbiz.de/10014226950
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A machine learning approach for predicting hidden links in supply chain with graph neural networks
Kosasih, Edward Elson; Brintrup, Alexandra - In: International journal of production research 60 (2022) 17, pp. 5380-5393
Persistent link: https://www.econbiz.de/10013500720
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Hybrid evolutionary optimisation with learning for production scheduling : state-of-the-art survey on algorithms and applications
Lin, Lin; Gen, Mitsuo - In: International journal of production research 56 (2018) 1/2, pp. 193-223
Persistent link: https://www.econbiz.de/10011876295