- Wireman, T., (2014). Benchmarking Best practices for maintenance, reliability and asset management. Industrial Press. ISBN: 978-0831135034
- Blanco, M. I., (2009). The economics of wind energy. Renewable and sustainable energy reviews, 13(6-7): p. 1372-1382. https://doi.org/10.1016/j.rser.2008.09.004
- Röckmann, C., S. Lagerveld, and J. Stavenuiter, (2017). Operation and maintenance costs of offshore wind farms and potential multi-use platforms in the Dutch North Sea. Aquaculture Perspective of Multi-Use Sites in the Open Ocean: The Untapped Potential for Marine Resources in the Anthropocene, p. 97-113. ISBN 978-3-319-51159-7
- Irena, I., 2018(2018). Renewable power generation costs in 2017. Report. International Renewable Energy Agency, Abu Dhabi, ISBN: 978-92-9260-040-2
- Feng Y, Qiu Y, Crabtree CJ, Long H, Tavner PJ. (2013 ). Monitoring wind turbine gearboxes. Wind energy. Jul, 16(5):728-40. https://doi.org/10.1002/we.1521
- Zhang, T., R. Dwight, and K. El-Akruti. (2015). Condition based maintenance and operation of wind turbines. In: Engineering Asset Management-Systems, Professional Practices and Certification: Proceedings of the 8th World Congress on Engineering Asset Management (WCEAM 2013) & the 3rd International Conference on Utility Management & Safety (ICUMAS). Springer. https://doi.org/10.1007/978-3-319-09507-3_87
- Nourelfath, M. and F. Yalaoui, (2012). Integrated load distribution and production planning in series-parallel multi-state systems with failure rate depending on load. Reliability Engineering & System Safety, 106: p. 138-145. https://doi.org/10.1016/j.ress.2012.06.006
- Filus, J., (1987). The load optimization of a repairable system with gamma-distributed time-to-failure. Reliability Engineering, 18(4): p. 275-28. https://doi.org/10.1016/0143-8174(87)90032-1
- Ang, C.-W. and C.-K. (2007). Tham, Analysis and optimization of service availability in a HA cluster with load-dependent machine availability. IEEE Transactions on parallel and distributed systems, 18(9): p. 1307-1319. https://doi.org/1109/TPDS.2007.1071
- Iyer, R.K. and D.J. (1986). Rossetti, A measurement-based model for workload dependence of CPU errors. IEEE Transactions on computers, 100(6): p. 511-519. https://doi.org/10.1109/TC.1986.5009428
- Dolinšek, S., B. Šuštaršič, and J. Kopač, (2001). Wear mechanisms of cutting tools in high-speed cutting processes. Wear, 250(1-12): p. 349-356. https://doi.org/10.1016/S0043-1648(01)00620-2
- Hao L, Liu K, Gebraeel N, Shi J. (2015 ). Controlling the residual life distribution of parallel unit systems through workload adjustment. IEEE Transactions on Automation Science and Engineering. 26;14(2):1042-52. https://doi.org/1109/TASE.2015.2481703
- Sun Q, Ye ZS, Revie M, Walls L. (2019). Reliability modeling of infrastructure load-sharing systems with workload adjustment. IEEE Transactions on Reliability. 68(4):1283-95. https://doi.org/1109/TR.2019.2900845
- Keizer MC, Teunter RH, Veldman J, Babai MZ. (2018). Condition-based maintenance for systems with economic dependence and load sharing. International Journal of Production Economics. 195: 319-27. https://doi.org/10.1016/j.ijpe.2017.10.030
- Truong‐Ba H, Borghesani P, Cholette ME, Ma L. (2020). Optimization of condition‐based maintenance considering partial opportunities. Quality and Reliability Engineering International. 36(2): 529-46. https://doi.org/10.1002/qre.2585
- فاروقی، هیوا، رسائی، حسن، رمضانی، سمیه. (1402). ارائه یک مدل ریاضی جهت برنامه‌ریزی نگهداری و تعمیرات برمبنای اطلاعات نمودارهای کنترل با رویکرد زنجیره مارکوف، نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید. https://doi.org/22084/ier.2024.5571
- بابایی مراد، سمانه، فتاحی، پرویز، باقری، حسن. (1398). بهینه‌سازی توأم سیاست زمان‌بندی تولید و نگهداری و تعمیرات با درنظر گرفتن کمبود از نوع پس‌افت و تقاضا به‌صورت احتمالی. نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید. https://doi.org/22084/ier.2019.19543.1870
- Zheng, R. and V. Makis, (2020). Optimal condition-based maintenance with general repair and two dependent failure modes. Computers & Industrial Engineering, 141: p. 106322. https://doi.org/10.1016/j.cie.2020.106322
- Park, M. and H. Pham, (2023). Condition-based maintenance for a degradation-shock dependence system under warranty. International Journal of Production Research, 61(15): p. 5212-5227. https://doi.org/10.1080/00207543.2022.2099319
- Ward, T., K. Jenab, and J. Ortega-Moody, (2024). Machine learning models for condition-based maintenance with regular truncated signals. Decision Science Letters, 13(1): 197-210. https://doi.org/10.36001/ijphm.2024.v15i2.3850
- Bouvard K, Artus S, Bérenguer C, Cocquempot V. (2011). Condition-based dynamic maintenance operations planning & grouping. Application to commercial heavy vehicles. Reliability Engineering & System Safety. 96(6): 601-10. https://doi.org/10.1016/j.ress.2010.11.009
- de Jonge, B., R. Teunter, and T. Tinga, (2017). The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance. Reliability engineering & system safety, 158: 21-30. https://doi.org/10.1016/j.ress.2016.10.002
- Kim, M.J. and Makis, (2013). Joint optimization of sampling and control of partially observable failing systems. Operations Research, 61(3): p. 777-790. https://doi.org/10.1287/opre.2013.1171
- Panagiotidou, S. and G. Tagaras, (2010). Statistical process control and condition‐based maintenance: A meaningful relationship through data sharing. Production and operations management, 19(2): p. 156-171. https://doi.org/10.1111/j.1937-5956.2009.01073.x
- Mula J, Poler R, García-Sabater JP, Lario FC. (2006). Models for production planning under uncertainty: A review. International journal of production economics. 103(1): 271-85. https://doi.org/10.1016/j.ijpe.2005.09.001
- Sethi SP, Yan H, Zhang H, Zhang Q. (2002). Optimal and hierarchical controls in dynamic stochastic manufacturing systems: A survey. Manufacturing & Service Operations Management. 4(2): 133-70. https://doi.org/10.1287/msom.4.2.133.281
- Francie KA, Jean-Pierre K, Pierre D, Victor S, Vladimir P. (2014). Stochastic optimal control of manufacturing systems under production-dependent failure rates. International Journal of Production Economics. 150: 174-87. https://doi.org/10.1016/j.ijpe.2013.12.032
- Lu, Z., W. Cui, and X. Han, (2015). Integrated production and preventive maintenance scheduling for a single machine with failure uncertainty. Computers & Industrial Engineering, 80: 236-244. https://doi.org/10.1016/j.cie.2014.12.017
- Hu, J.-Q., P. Vakili, and G.-X. Yu, (1994). Optimality of hedging point policies in the production control of failure prone manufacturing systems. IEEE Transactions on Automatic Control, 39(9): 1875-1880. https://doi.org/1109/9.317116
- Martinelli, F., (2005). Control of manufacturing systems with a two-value, production-dependent failure rate. Automatica, 41(11): 1943-1948. https://doi.org/10.1016/j.automatica.2005.05.016
- Martinelli, F., (2007). Optimality of a two-threshold feedback control for a manufacturing system with a production dependent failure rate. IEEE Transactions on Automatic Control, 52(10): p. 1937-1942. https://doi.org/1109/TAC.2007.906229
- Martinelli, F., (2007). Manufacturing systems with a production dependent failure rate: structure of optimality. IEEE Transactions on Automatic Control, (55(10: 2401-2406. https://doi.org/1109/TAC.2010.2054790
- رسائی، حسن، فاروقی، هیوا. (1402). بررسی تأثیر مکانیزم‌های مختلف خرابی فرآیندهای تولیدی در مدل‌های یکپارچه نگهداری و تعمیرات و کنترل فرآیند آماری بااستفاده از طراحی آزمایشات. نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید .https://doi.org/22084/ier.2023.27913.2130
- Zied, H., D. Sofiene, and R. Nidhal, (2011). Optimal integrated maintenance/production policy for randomly failing systems with variable failure rate. International Journal of Production Research, 49(19): 5695-5712. https://doi.org/10.1080/00207543.2010.528063
- Ayed, S., D. Sofiene, and R. Nidhal, (2012). Joint optimisation of maintenance and production policies considering random demand and variable production rate. International Journal of Production Research, 50(23): 6870-6885. https://doi.org/10.1080/00207543.2011.631601
- De Jonge, B. and E. Jakobsons, (2018). Optimizing block-based maintenance under random machine usage. European Journal of Operational Research, 265(2): 703-709. https://doi.org/10.1016/j.ejor.2017.07.051
- Liu B, Wu S, Xie M, Kuo W. (2017). A condition-based maintenance policy for degrading systems with age-and state-dependent operating cost. European Journal of Operational Research. Dec 16;263(3):879-87. https://doi.org/10.1016/j.ejor.2017.05.006
- Makis, V. and X. Jiang, (2003).Optimal replacement under partial observations. Mathematics of operations research, 28(2): 382-394. https://doi.org/10.1287/moor.28.2.382.14484
- Sloan, T.W. and J.G. Shanthikumar, (2000). Combined production and maintenance scheduling for a multiple‐product, single‐machine production system. Production and Operations Management, 9(4): p. 379-399. https://doi.org/10.1111/j.1937-5956.2000.tb00465.x
- Kazaz, B. and T. W. Sloan, (2013). The impact of process deterioration on production and maintenance policies. European Journal of Operational Research, 227(1): p. 88-100. https://doi.org/10.1016/j.ejor.2012.11.052
- uit het Broek MA, Teunter RH, De Jonge B, Veldman J. (2021). Joint condition-based maintenance and condition-based production optimization. Reliability Engineering & System Safety. 214: 107743. https://doi.org/10.1016/j.ress.2021.107743
- Broek MA, Teunter RH, De Jonge B, Veldman J. (2021). Joint condition-based maintenance and load-sharing optimization for two-unit systems with economic dependency. European Journal of Operational Research. 295(3): 1119-31. https://doi.org/10.1016/j.ejor.2021.03.044
- Koopmans, M. and B. de Jonge, (2023). Condition-based maintenance and production speed optimization under limited maintenance capacity. Computers & Industrial Engineering, 179: 109155. https://doi.org/10.1016/j.cie.2023.109155
- Rasay, H., F. Naderkhani, and A. M. Golmohammadi. (2022). Reinforcement learning based on stochastic dynamic programming for condition-based maintenance of deteriorating production processes. in 2022 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE. https://doi.org/1109/ICPHM53196.2022.9815668
- Drent, C., M. Drent, and J. Arts, (2023). Condition-Based Production for Stochastically Deteriorating Systems: Optimal Policies and Learning. arXiv preprint arXiv: 2308.07507, https://doi.org/10.1287/msom.2022.0473
- Sun Q, Chen P, Wang X, Ye ZS. (2023). Robust condition‐based production and maintenance planning for degradation management. Production and Operations Management. 32(12): 3951-67. https://doi.org/10.1111/poms.14071
- Zhang, N., Cai, K., Deng, Y., & Zhang, J. (2024). Joint optimization of condition-based maintenance and condition-based production of a single equipment considering random yield and maintenance delay. Reliability Engineering & System Safety, 241, 109694. https://doi.org/10.1016/j.ress.2023.109694
- Sutton, R. S. (2018). Reinforcement learning: An introduction. A Bradford Book. https://doi.org/10.1017/S0263574799271172
- Sun, Q., Chen, P., Wang, X., Ye, Z.-S. (2023). Robust condition-based production and maintenance planning for degradation management. Production and Operations Management 32(12): 3951–3967 https://doi.org/10.1111/poms.14071
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