Machine Scheduling Models Based on Reinforcement Learning for Minimizing Due Date Violation and Setup Change |
Yoo, Woosik
(Department of Industrial and Management Engineering, Incheon National University)
Seo, Juhyeok (Department of Industrial and Management Engineering, Incheon National University) Kim, Dahee (Department of Industrial and Management Engineering, Incheon National University) Kim, Kwanho (Department of Industrial and Management Engineering, Incheon National University) |
1 | Cho, Y. C., Cho, H. C., Kim, J. W., Zhang, L., and Jeon, H. T., “A Study on Optimal Scheduling of Multi-Spinner's Manufacturing Process Using Artificial Neural Network,” International Journal of Fuzzy Logic and Intelligent Systems, Vol. 18, No. 1, pp. 157-160, 2008. |
2 | Demirkov, E. and Uzsoy, R., “Decomposition methods for reentrant flow shops with sequence-dependent setup times,” Journal of Scheduling, Vol. 3, No. 3, pp. 155-177, 2010. DOI |
3 | Gabel, T. and Riedmiller, M., “Distributed policy search reinforcement learning for job-shop scheduling tasks,” International Journal of Production Research, Vol. 50, No. 1, pp. 41-61, 2012. DOI |
4 | Jeong, H. S., Kim, M. W., Lee, B. J., Kim, K. T., and Youn, H. Y., "An Neural Network Approach to Job-shop Scheduling based on Reinforcement Learning," Proceedings of the Korean Society of Computer Information Conference, Vol. 26, No. 2, pp. 47-48, 2018. |
5 | Kang, J., “Feasibility Study on the Reinforcement Learning for a Dynamic Scheduling Problem,” Journal of advanced engineering and technology, Vol. 10, No. 4, pp. 453-456, 2017. DOI |
6 | Kang, Y. H., Lee, Y. S., and Shin, H. J., “Problem space based search algorithm for manufacturing process with rework probabilities affecting product quality and tardiness,” Journal of the Korea Academia-Industrial Cooperation Society, Vol. 10, No. 7, pp. 1702-1710, 2009. DOI |
7 | Kim, A. K., "Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling: Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling," Ph.D. dissertation, KyungHee University, 2018. |
8 | Kim, H. S., Park, D. J., and Jeong, I. J., "Railway Capacity Allocation Modeling using Genetic Algorithm," Transportation Research Record: Journal of the Transportation Research Board, Vol. 2608, pp. 1223-1230, 2016. |
9 | Kim, J. Y., "Packet scheduling algorithm using deep Q-Network in wireless network," M.S dissertation, Yonsei University, 2018. |
10 | Lee, D. H. and Kim, K. H., “Deep Learning Based Prediction Method of Long-term Photovoltaic Power Generation Using Meteorological and Seasonal Information,” The Journal of Society for e-Business Studies, Vol. 24, No. 1, pp. 1-16, 2019. |
11 | Lee, Y. S., "A study on Developing algorithms for Manufacturing networks using meta-Heuristics," Ph.D. Thesis, Sangmyung University, 2000. |
12 | Shahrabia, J., Adibib, M. A., and Mahootchia, M., "A reinforcement learning approach to parameter estimation in dynamic job shop scheduling," Computers and Industrial Engineering, Vol. 110, pp. 75-82, 2016. DOI |
13 | Mazdeh, M. M., Nakhjavani, A. K., and Zareei, A., “Minimizing Total Weighted Tardiness with Drop Dead Dates in Single Machine Scheduling Problem,” International Journal of Industrial Engineering & Production Research, Vol. 21, No. 2, pp. 89-95, 2010. |
14 | Oh, S. W., Lee, H. K., Shin, J. Y., and Lee, J. H., “Antibiotics-Resistant Bacteria Infection Prediction Based on Deep Learning,” The Journal of Society for e-Business Studies, Vol. 24, No. 1, pp. 105-120, 2019. |
15 | Ryu, J. W., Kang, M. K., and Kim, M. W., “A Clustering Algorithm based on Heuristic Evolution Algorithm,” Korean Institute of Information Scientists and Engineers, Vol. 27, No. 2, pp. 78-80, 2000. |