Zhenyu Liu, Haoyang Mao, Guodong Sa, Hui Liu & Jianrong Tan. (2024) Dynamic job-shop scheduling using graph reinforcement learning with auxiliary strategy. Journal of Manufacturing Systems 73, pages 1-18.
Crossref
Fangfang Zhang, Yi Mei, Su Nguyen & Mengjie Zhang. (2024) Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. IEEE Transactions on Evolutionary Computation 28:1, pages 147-167.
Crossref
Frederik Ferid Ostermeier & Jochen Deuse. (2023) A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing. Journal of Scheduling 27:1, pages 29-49.
Crossref
Vivian Wen Hui Wong, Sang Hun Kim, Junyoung Park, Jinkyoo Park & Kincho H. Law. (2024) Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning. Journal of Manufacturing Science and Engineering 146:1.
Crossref
Eiji Morinaga, Xuetian Tang, Koji Iwamura & Naoki Hirabayashi. (2024) Improvement of job shop scheduling method based on mathematical optimization and machine learning. Procedia Computer Science 232, pages 871-879.
Crossref
Kap-Hwan Kim. 2024. Planning and Operation of Container Terminals. Planning and Operation of Container Terminals
315
344
.
F. Ganji & S. Gholami. (2023) Minimizing fuel emission by optimizing ship scheduling considering priorities and release times. International Journal of Environmental Science and Technology 21:1, pages 135-152.
Crossref
Nuno O. Fernandes, Nelson Guedes, Matthias Thürer, Luis P. Ferreira, P. Avila & Silvio Carmo-Silva. 2024. Information Systems and Technologies. Information Systems and Technologies
417
424
.
Nuno O. Fernandes, Nelson Guedes, Matthias Thürer, Luis P. Ferreira & Paulo Ávila. 2024. Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
95
102
.
Jianjun Liu, Martin J. Land, Jos A. C. Bokhorst & Qingxin Chen. (2022) Improving coordination in assembly job shops: redesigning order release and dispatching. Flexible Services and Manufacturing Journal 35:3, pages 669-697.
Crossref
Ziqing Wang & Wenzhu Liao. (2023) Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning. Journal of Intelligent Manufacturing.
Crossref
Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao & Xin Yao. (2023) Constrained Reinforcement Learning for Dynamic Material Handling. Constrained Reinforcement Learning for Dynamic Material Handling.
Zhaojun Qin, Dazzle Johnson & Yuqian Lu. (2023) Dynamic production scheduling towards self-organizing mass personalization: A multi-agent dueling deep reinforcement learning approach. Journal of Manufacturing Systems 68, pages 242-257.
Crossref
Yong Gui, Dunbing Tang, Haihua Zhu, Yi Zhang & Zequn Zhang. (2023) Dynamic scheduling for flexible job shop using a deep reinforcement learning approach. Computers & Industrial Engineering 180, pages 109255.
Crossref
Yannik Zeiträg & José Rui Figueira. (2023) Automatically evolving preference-based dispatching rules for multi-objective job shop scheduling. Journal of Scheduling 26:3, pages 289-314.
Crossref
Khalil Tliba, Thierno M. L. Diallo, Olivia Penas, Romdhane Ben Khalifa, Noureddine Ben Yahia & Jean-Yves Choley. (2022) Digital twin-driven dynamic scheduling of a hybrid flow shop. Journal of Intelligent Manufacturing 34:5, pages 2281-2306.
Crossref
Shiladitya Chakravorty & Nagendra N. Nagarur. (2023) Simulated Annealing Based Artificial Neural Network For Real Time Dispatching. Simulated Annealing Based Artificial Neural Network For Real Time Dispatching.
T.A. Arno Kasper, Martin J. Land & Ruud H. Teunter. (2023) Non-hierarchical work-in-progress control in manufacturing. International Journal of Production Economics 257, pages 108768.
Crossref
Luis C. Rabelo & Yuehwern Yih. (2023) DEVELOPMENT OF A TWO-LEVEL SCHEDULING PROTOTYPE USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR A "SYSTEMS" COMPANY. DEVELOPMENT OF A TWO-LEVEL SCHEDULING PROTOTYPE USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR A "SYSTEMS" COMPANY.
Eiji MORINAGA, Kenta TERAMOTOHidefumi WAKAMATSU. (2023) Method of job shop scheduling considering reworking and reprocessing based on proactive approach. Journal of Advanced Mechanical Design, Systems, and Manufacturing 17:1, pages JAMDSM0013-JAMDSM0013.
Crossref
Gyunam Park & Minseok Song. (2023) Optimizing Resource Allocation Based on Predictive Process Monitoring. IEEE Access 11, pages 38309-38323.
Crossref
Eiji Morinaga, Xuetian Tang, Koji Iwamura & Naoki Hirabayashi. (2023) An improved method of job shop scheduling using machine learning and mathematical optimization. Procedia Computer Science 217, pages 1479-1486.
Crossref
T.A. Arno Kasper, Martin J. Land & Ruud H. Teunter. (2023) Towards System State Dispatching in High‐Variety Manufacturing. Omega 114, pages 102726.
Crossref
Eiji Morinaga, Kenta Teramoto & Hidefumi Wakamatsu. 2023. Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures
576
590
.
Michael Groth, Alexander Dippel & Matthias Schumann. 2023. Design Science Research for a New Society: Society 5.0. Design Science Research for a New Society: Society 5.0
18
32
.
María Ángeles Rodríguez, Pedro Gomez-Gasquet, Llanos Cuenca & M. M. E. Alemany. 2023. Industry 4.0: The Power of Data. Industry 4.0: The Power of Data
137
144
.
Jonas K. Falkner, Daniela Thyssens, Ahmad Bdeir & Lars Schmidt-Thieme. 2023. Machine Learning and Knowledge Discovery in Databases. Machine Learning and Knowledge Discovery in Databases
361
376
.
Yannik Zeiträg, José Rui Figueira, Nuno Horta & Rui Neves. (2022) Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming. Expert Systems with Applications 209, pages 118194.
Crossref
Shu Luo, Linxuan Zhang & Yushun Fan. (2022) Real-Time Scheduling for Dynamic Partial-No-Wait Multiobjective Flexible Job Shop by Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering 19:4, pages 3020-3038.
Crossref
Cristiane Ferreira, Gonçalo Figueira & Pedro Amorim. (2022) Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning. Omega 111, pages 102643.
Crossref
Baby Sivanandan Girish, Habibullah & Jessamma Dileeplal. (2022) Minimizing the total weighted earliness and tardiness for a sequence of operations in job shops. RAIRO - Operations Research 56:4, pages 2621-2649.
Crossref
MOHAMMED M. S. EL-KHOLANY, MARTIN GEBSER & KONSTANTIN SCHEKOTIHIN. (2022) Problem Decomposition and Multi-shot ASP Solving for Job-shop Scheduling. Theory and Practice of Logic Programming 22:4, pages 623-639.
Crossref
Hegen Xiong, Shuangyuan Shi, Danni Ren & Jinjin Hu. (2022) A survey of job shop scheduling problem: The types and models. Computers & Operations Research 142, pages 105731.
Crossref
Shiladitya Chakravorty & Nagendra N. Nagarur. (2022) Analysis of Artificial Neural Network Based Algorithms For Real Time Dispatching. Analysis of Artificial Neural Network Based Algorithms For Real Time Dispatching.
Jingqi Chen, Guoxin Wang, Jinzhi Lu, Xiaochen Zheng & Dimitris Kiritsis. (2022) Model-based system engineering supporting production scheduling based on satisfiability modulo theory. Journal of Industrial Information Integration 27, pages 100329.
Crossref
Alper Türkyılmaz, Ozlem Senvar, İrem Ünal & Serol Bulkan. (2022) A hybrid genetic algorithm based on a two-level hypervolume contribution measure selection strategy for bi-objective flexible job shop problem. Computers & Operations Research 141, pages 105694.
Crossref
Maximilian Johannes Schlüter & Frederik Ferid Ostermeier. (2022) Dynamic line balancing in unpaced mixed-model assembly lines: A problem classification. CIRP Journal of Manufacturing Science and Technology 37, pages 134-142.
Crossref
Liping Zhang, Yifan Hu, Chuangjian Wang, Qiuhua Tang & Xinyu Li. (2022) Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment. Journal of Manufacturing Systems 63, pages 424-438.
Crossref
Gaetano Volpe, Agostino Marcello Mangini & Maria Pia Fanti. (2022) Job Shop Sequencing in Manufacturing Plants by Timed Coloured Petri Nets and Particle Swarm Optimization. IFAC-PapersOnLine 55:28, pages 350-355.
Crossref
Ragazzini Lorenzo, Negri Elisa & Macchi Marco. (2022) Local Digital Twin-based control of a cobot-assisted assembly cell based on Dispatching Rules. IFAC-PapersOnLine 55:2, pages 372-377.
Crossref
S. Ashwin, V. Shankaranarayanan, Damien lamy, S. P. Anbuudayasankar & M. Thenarasu. 2022. Intelligent Manufacturing and Energy Sustainability. Intelligent Manufacturing and Energy Sustainability
337
345
.
Hao Wang, Tao Peng, Alexandra Brintrup, Thorsten Wuest & Renzhong Tang. 2022. Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action
425
433
.
Sai Panda, Yi Mei & Mengjie Zhang. 2022. Evolutionary Computation in Combinatorial Optimization. Evolutionary Computation in Combinatorial Optimization
95
110
.
Mohammed M. S. El-Kholany, Konstantin Schekotihin & Martin Gebser. 2022. Practical Aspects of Declarative Languages. Practical Aspects of Declarative Languages
165
180
.
Sudipta Saha, Maurizio Tomasella, Giovanni Cattaneo, Andrea Matta & Silvia Padron. (2021) On Static vs Dynamic (Switching of) Operational Policies in Aircraft Turnaround Team Allocation and Management. On Static vs Dynamic (Switching of) Operational Policies in Aircraft Turnaround Team Allocation and Management.
Lijun He, Wenfeng Li, Raymond Chiong, Mehdi Abedi, Yulian Cao & Yu Zhang. (2021) Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm. Applied Soft Computing 111, pages 107654.
Crossref
Di Li & Hao Tang. (2021) A semantic-level component-based scheduling method for customized manufacturing. Robotics and Computer-Integrated Manufacturing 71, pages 102144.
Crossref
Huali Fan, Hegen Xiong & Mark Goh. (2021) Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints. Computers & Operations Research 134, pages 105401.
Crossref
Liping Zhang, Yifan Hu, Qiuhua Tang, Jie Li & Zhixiong Li. (2021) Data-Driven Dispatching Rules Mining and Real-Time Decision-Making Methodology in Intelligent Manufacturing Shop Floor with Uncertainty. Sensors 21:14, pages 4836.
Crossref
David Garcia, Houda Tlahig, Belgacem Bettayeb & M'hammed Sahnoun. (2021) Evaluation of Dispatching Rules Performance for a DJSSP: Towards their Application in Industry 4.0. Evaluation of Dispatching Rules Performance for a DJSSP: Towards their Application in Industry 4.0.
Andreas Kuhnle, Jan-Philipp Kaiser, Felix Theiß, Nicole Stricker & Gisela Lanza. (2020) Designing an adaptive production control system using reinforcement learning. Journal of Intelligent Manufacturing 32:3, pages 855-876.
Crossref
Rashmi Singh & M. Mathirajan. (2021) A New Stage-Wise Control Release Policy for Semiconductor Wafer Fabrication Systems. IEEE Transactions on Semiconductor Manufacturing 34:1, pages 115-134.
Crossref
Xiang Tian & Xiyu Liu. (2021) Improved Hybrid Heuristic Algorithm Inspired by Tissue-Like Membrane System to Solve Job Shop Scheduling Problem. Processes 9:2, pages 219.
Crossref