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International Journal of Production Research Volume 61, 2023 - Issue 16
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Research Articles

Bi-level scheduling in high-end equipment R&D: when more algorithm strategies may not be better

Jun Peia School of Management, Hefei University of Technology, Hefei, China;b Key Laboratory of Process Optimization and Intelligent Decision-making, Research Center for Intelligent Decision-Making & Information System Technologies, Ministry of Education, Hefei, ChinaCorrespondence[email protected]
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,
Haoxin Wanga School of Management, Hefei University of Technology, Hefei, ChinaView further author information
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Min Kongc School of Economics and Management, Anhui Normal University, Wuhu, ChinaCorrespondence[email protected]
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Nenad Mladenovicd Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, United Arab EmiratesView further author information
&
Panos M. Pardalose Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USAView further author information
Pages 5436-5467 | Received 14 Aug 2021, Accepted 02 Jul 2022, Published online: 01 Aug 2022

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Read on this site (4)

Yuhan Guo, Wenhua Li, Linfan Xiao & Hamid Allaoui. (2024) A prediction-based iterative Kuhn-Munkres approach for service vehicle reallocation in ride-hailing. International Journal of Production Research 62:10, pages 3690-3715.
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Yenny Alexandra Paredes-Astudillo, Valérie Botta-Genoulaz & Jairo R. Montoya-Torres. (2024) Impact of learning effect modelling in flowshop scheduling with makespan minimisation based on the Nawaz-Enscore-Ham algorithm. International Journal of Production Research 62:6, pages 1999-2014.
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Min Kong, Weizhong Wang, Muhammet Deveci, Yajing Zhang, Xuzhong Wu & D'Maris Coffman. (2023) A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing. International Journal of Production Research 0:0, pages 1-24.
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Ting Zhao, Shaojun Lu, Hao Cheng, Mingyu Ren & Xinbao Liu. (2023) Coordinated production and delivery scheduling for service-oriented manufacturing systems with deterioration effect. International Journal of Production Research 0:0, pages 1-20.
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Articles from other publishers (1)

Xinyue Wang, Shaojun Lu, Xiaofei Qian, Chaoming Hu & Xinbao Liu. (2024) Dynamic scheduling of decentralized high-end equipment R&D projects via deep reinforcement learning. Computers & Industrial Engineering 190, pages 110018.
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