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Qihao Liu, Xinyu Li, Liang Gao & Jiaxin Fan. (2023) Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems. Journal of the Operational Research Society 74:9, pages 1955-1967.
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Reza Gharoie Ahangar, Robert Pavur & Hani Gharavi. (2022) A global optima search field division method for evolutionary algorithms. Journal of the Operational Research Society 73:5, pages 1085-1104.
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Qiurui Liu, Yanfang Ma, Lin Chen, Witold Pedrycz, Mirosław J. Skibniewski & Zhen-Song Chen. (2024) Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review. Information Fusion 109, pages 102423.
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Amir M. Fathollahi-Fard, Lyne Woodward & Ouassima Akhrif. (2024) A distributed permutation flow-shop considering sustainability criteria and real-time scheduling. Journal of Industrial Information Integration 39, pages 100598.
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Amir M. Fathollahi-Fard, Lyne Woodward & Ouassima Akhrif. (2024) A scenario-based robust optimization model for the sustainable distributed permutation flow-shop scheduling problem. Annals of Operations Research.
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Felix Grumbach, Anna Müller, Pascal Reusch & Sebastian Trojahn. (2022) Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. Journal of Intelligent Manufacturing 35:2, pages 667-686.
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Beren Gürsoy Yılmaz, Ömer Faruk Yılmaz & Fatma Betül Yeni. (2024) Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time. Journal of Industrial and Management Optimization 0:0, pages 0-0.
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Jiepin Ding, Mingsong Chen, Ting Wang, Junlong Zhou, Xin Fu & Keqin Li. (2023) A Survey of AI-enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning. ACM Computing Surveys 55:14s, pages 1-36.
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Wenxin Ruan, Miao Yu, Yu Zhao & Duoyun Qin. (2023) Hybrid Flow Shop-Scheduling for Production of Prefabricated Component. Hybrid Flow Shop-Scheduling for Production of Prefabricated Component.
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Ghazwan AlsoufiManal Abdulkareem ZeidanLamyaa Jasim Mohammed & Abdellah Salhi. (2021) A Robust Expected Makespan for Permutation Flow Shop Scheduling Depending on Machine Failure Rate. International Journal of Mathematical, Engineering and Management Sciences 6:5, pages 1345-1360.
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Shengluo Yang & Zhigang Xu. (2021) Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning. Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning.
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Sadiqi Assia, El Abbassi Ikram, El Barkany Abdellah & Darcherif Moumen. (2020) Real-Time Energy-Efficient Scheduling of Jobs and Maintenance in the Industry 4.0. Real-Time Energy-Efficient Scheduling of Jobs and Maintenance in the Industry 4.0.
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