- Zainuddin, Z., P.A. EA, and M. Hasan, Predicting machine failure using recurrent neural network-gated recurrent unit (RNN-GRU) through time series data. Bulletin of Electrical Engineering and Informatics, 2021. 10(2): p. 870-878.
- Guiras, Z., et al., Optimal maintenance plan for two-level assembly system and risk study of machine failure. International Journal of Production Research, 2019. 57(8): p. 2446-2463.
- Mokhtari, H. and M. Dadgar, Scheduling optimization of a stochastic flexible job-shop system with time-varying machine failure rate. Computers & Operations Research, 2015. 61: p. 31-45.
- Riazi, M., et al. Detecting the onset of machine failure using anomaly detection methods. in International Conference on Big Data Analytics and Knowledge 2019. Springer.
- Paprocka, I., Evaluation of the effects of a machine failure on the robustness of a job shop system—Proactive approaches. Sustainability, 2019. 11(1): p. 65.
- Wang, Z., C.K. Pang, and T.S. Ng, Robust scheduling optimization for flexible manufacturing systems with replenishment under uncertain machine failure disruptions. Control Engineering Practice, 2019. 92: p. 104094.
- SobASzek, Ł., A. GolA, and A. Świć, Time-based machine failure prediction in multi-machine manufacturing systems. Eksploatacja i Niezawodność, 2020. 22(1).
- Smadi, H.J. and A.K. Kamrani, PRODUCT QUALITY-BASED METHODOLOGY FOR MACHINE FAILURE ANALYSIS AND PREDICTION. International Journal of Industrial Engineering, 2011. 18(11).
- Shokoufi, K. and J. Rezaeian, An exact solution approach using a novel concept for single machine preemptive scheduling problem in the just-in-time production system. Journal of Industrial and Production Engineering, 2020. 37(5): p. 215-228.
- Tsao, Y.-C., V.-V. Thanh, and F.- Hwang, Energy-efficient single-machine scheduling problem with controllable job processing times under differential electricity pricing. Resources, Conservation and Recycling, 2020. 161: p. 104902.
- Cui, W.-W. and Z. Lu, Minimizing the makespan on a single machine with flexible maintenances and jobs’ release dates. Computers & Operations Research, 2017. 80: p. 11-22.
- Liu, Q., M. Dong, and F. Chen, Single-machine-based joint optimization of predictive maintenance planning and production scheduling. Robotics and Computer-Integrated Manufacturing, 2018. 51: p. 238-247.
- Zhou, B. and T. Peng, New single machine scheduling with nonnegative inventory constraints and discretely controllable processing times. Optimization Letters, 2019. 13(5): p. 1111-1142.
- Varela, M.L., et al., Collaborative paradigm for single-machine scheduling under just-in-time principles: total holding-tardiness cost problem. Management and Production Engineering Review, 2018. 9.
- Touat, M., F. Benbouzid, and B. Benhamou, Exact and metaheuristic approaches for the single-machine scheduling problem with flexible maintenance under human resource constraints. International Journal of Manufacturing Research, 2021.
- Perez-Gonzalez, P. and J.M. Framinan, Single machine scheduling with periodic machine availability. Computers & Industrial Engineering, 2018. 123: p. 180-188.
- Nesello, V., et al., Exact solution of the single-machine scheduling problem with periodic maintenances and sequence-dependent setup times. European Journal of Operational Research, 2018. 266(2): p. 498-507.
- Shabtay, D. and M. Zofi, Single machine scheduling with controllable processing times and an unavailability period to minimize the makespan. International Journal of Production Economics, 20 198: p. 191-200.
- Wang, J.-B., Y. Hu, and B. Zhang, Common due-window assignment for single-machine scheduling with generalized earliness/tardiness penalties and a rate-modifying activity. Engineering Optimization, 2021. 53(3): p. 496-512.
- Choi, -C. and M.-J. Park, Single-machine scheduling with periodic due dates to minimize the total earliness and tardy penalty. Journal of Combinatorial Optimization, 2021. 41(4): p. 781-793.
- Vollert, S., M. Atzmueller, and A. Theissler. Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. in 2021 26th IEEE international conference on emerging technologies and factory automation (ETFA). 2021. IEEE.
- Ayvaz, S. and K. Alpay, Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time. Expert Systems with Applications, 2021. 173: p. 114598.
- Chen, C., et al., Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics, 2020. 44: p. 101054.
- Schmitt, J., et al., Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing. Advanced engineering informatics, 2020. 45: p. 101101.
- Schwendemann, S., Z. Amjad, and A. Sikora, A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines. Computers in Industry, 2021. 125: p. 103380.
- Bilski, P., Application of support vector machines to the induction motor parameters Measurement, 2014. 51: p. 377-386.
- Calabrese, M., et al., SOPHIA: An event-based IoT and machine learning architecture for predictive maintenance in industry 4.0. Information, 2020. 11(4): p. 202.
- Schmidt, B. and L. Wang, Predictive maintenance of machine tool linear axes: A case from manufacturing industry. Procedia manufacturing, 2018. 17: p. 118-125.
- Chen, W.-J., Minimizing number of tardy jobs on a single machine subject to periodic maintenance. Omega, 2009. 37(3): p. 591-5
- Qamhan, A.A., et al., An exact method and ant colony optimization for single machine scheduling problem with time window periodic maintenance. IEEE Access, 2020. 8: p. 44836-44845.
- Hou, Y.-T., et al., A single-machine scheduling problem with a deterioration model and partial maintenance. Journal of Statistics and Management Systems, 2018. 21(8): p. 1501-1511.
- Laalaoui, Y. and R. M’Hallah, A binary multiple knapsack model for single machine scheduling with machine unavailability. Computers & Operations Research, 2016. 72: p. 71-82.
- Wang, T., et al., A branch-and-price algorithm for scheduling of deteriorating jobs and flexible periodic maintenance on a single machine. European Journal of Operational Research, 2018. 271(3): p. 826-838.
- Low, C., et al., Minimizing the makespan in a single machine scheduling problems with flexible and periodic maintenance. Applied Mathematical Modelling, 2010. 34(2): p. 334-342.
- Zammori, F., M. Braglia, and D. Castellano, Harmony search algorithm for single-machine scheduling problem with planned maintenance. Computers & Industrial Engineering, 2014. 76: p. 333-346.
- Yang, X.-S. and N.-I.M. Algorithms, Luniver press. Beckington, UK, 2008: p. 242-246.
- Yang, X.-S. Firefly algorithms for multimodal optimization. in International symposium on stochastic algorithms. 2009. Springer.
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