Solving comprehensive dynamic job shop scheduling problem by using a GRASP-based approach
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DOI: 10.1080/00207543.2017.1306134
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References listed on IDEAS
- Sabuncuoglu, I. & Bayiz, M., 2000. "Analysis of reactive scheduling problems in a job shop environment," European Journal of Operational Research, Elsevier, vol. 126(3), pages 567-586, November.
- Sabuncuoglu, I. & Karapinar, H. Y., 1999. "Analysis of order review/release problems in production systems," International Journal of Production Economics, Elsevier, vol. 62(3), pages 259-279, September.
- Vinod, V. & Sridharan, R., 2011. "Simulation modeling and analysis of due-date assignment methods and scheduling decision rules in a dynamic job shop production system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 127-146, January.
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Cited by:
- Ali Fırat İnal & Çağrı Sel & Adnan Aktepe & Ahmet Kürşad Türker & Süleyman Ersöz, 2023. "A Multi-Agent Reinforcement Learning Approach to the Dynamic Job Shop Scheduling Problem," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
- Zachariah Stevenson & Ricardo Fukasawa & Luis Ricardez-Sandoval, 2020. "Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant," Journal of Scheduling, Springer, vol. 23(3), pages 397-410, June.
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