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International Journal of Production Research Volume 62, 2024 - Issue 18: Special Issue: Production Optimisation in Carbon Reduction Engineering Management
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Research Articles

A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing

Min Konga School of Economics and Management, Anhui Normal University, Wuhu, People’s Republic of China;b School of Management, Hefei University of Technology, Hefei, People’s Republic of ChinaView further author information
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Weizhong Wanga School of Economics and Management, Anhui Normal University, Wuhu, People’s Republic of ChinaView further author information
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Muhammet Devecic The Bartlett School of Sustainable Construction, University College London, London, UK;d Department of Industrial Engineering, Turkish Naval Academy, National Defence University, Tuzla, Istanbul, TurkeyCorrespondence[email protected]
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Yajing Zhanga School of Economics and Management, Anhui Normal University, Wuhu, People’s Republic of ChinaView further author information
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Xuzhong Wua School of Economics and Management, Anhui Normal University, Wuhu, People’s Republic of ChinaCorrespondence[email protected]
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&
D'Maris Coffmanc The Bartlett School of Sustainable Construction, University College London, London, UKView further author information
Pages 6449-6472 | Received 15 May 2023, Accepted 18 Aug 2023, Published online: 14 Sep 2023

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Read on this site (2)

Deming Lei & Tao Dai. An adaptive shuffled frog-leaping algorithm for parallel batch processing machines scheduling with machine eligibility in fabric dyeing process. International Journal of Production Research 0:0, pages 1-18.
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Huang Shunhu, Ma Feng, Gong Qingshan & Zhang Hua. Efficient low-carbon manufacturing for CFRP composite machining based on deep networks. International Journal of Production Research 0:0, pages 1-12.
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Articles from other publishers (2)

XiYing Li & ChenGuang Liu. (2024) Energy-efficient scheduling in an identical parallel machine environment with peak power consumption and deadline constraints. Computers & Operations Research 170, pages 106777.
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Qingyong Wang. (2024) Interpretable decision-making model with uncertain weights for sustainable digital economy. Advanced Engineering Informatics 60, pages 102359.
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