[1] Ebling, C. E. (2021). An introduction to reliability and maintainability engineering. Akhtar negar. https://ketabnak.com/book/123841/
[2] Jafarnejad, A., Esmaeeilian, M. (2012). Maintenance and reliability management. https://samta.samt.ac.ir/content/9539/
[3] Golmohammadi, E., & Ardakan, M. A. (2022). Reliability optimization problem with the mixed strategy, degrading components, and a periodic inspection and maintenance policy. Reliability engineering & system safety, 223, 108500. https://doi.org/10.1016/j.ress.2022.108500
[4] Oszczypała, M., Ziółkowski, J., & Malachowski, J. (2024). Redundancy allocation problem in repairable k-out-of-n systems with cold, warm, and hot standby: A genetic algorithm for availability optimization. Applied soft computing. https://doi.org/10.1016/j.asoc.2024.112041
[5] Noormohammadi, G., Safari, J., Najafi, S. E., & Movahedi Sobhani, F. (2025). Defense and attack strategy optimization for reliability systems with virtual components and active redundancy with a game theory approach. Journal of decisions and operations research, 10(1), 109–124. https://doi.org/10.22105/dmor.2025.497532.1902
[6] Jadhav, S., & Kumar, A. (2025). Stochastic modeling and availability optimization of wireless sensor network through particle swarm optimization. Reliability engineering \& system safety, 111538. https://doi.org/10.1016/j.ress.2025.111538
[7] Jakkula, B., Mandela, G. R., & Tripathi, A. K. (2025). Reliability-based scheduled maintenance (SM) for mining equipment with artificial neural network (ANN) model. Precis. mech. digit. fabr, 2(2), 124–133. https://library.acadlore.com/PMDF/2025/2/2/PMDF_02.02_05.pdf
[8] Garg, D., Popli, D., Kamboj, P., & Vashishth, N. (2025). Reliability availability maintainability dependability (ramd) optimization: A case study of manufacturing plant. Reliability: theory & applications, 20(2 (84)), 308–323. https://cyberleninka.ru/article/n/reliability-availability-maintainability-dependability-ramd-optimization-a-case-study-of-manufacturing-plant
[9] Yusuf, I., Auta, K. S., & Kabeer, M. (2024). Optimizing system availability in client-server network through fog computing: a stochastic model with foggy markovian paths. Risk assessment and management decisions, 1(1), 102–118. https://doi.org/10.48314/ramd.v1i1.38
[10] Juybari, M. N., Zeinal Hamadani, A., & Liu, B. (2022). A Markovian analytical approach to a repairable system under the mixed redundancy strategy with a repairman. Quality and reliability engineering international, 38(7), 3663–3688.
[11] Peiravi, A., Ardakan, M. A., & Zio, E. (2020). A new Markov-based model for reliability optimization problems with mixed redundancy strategy. Reliability engineering & system safety, 201, 106987. https://doi.org/10.1016/j.ress.2020.106987
[12] ZhAng, C., & ZhAng, Y. (2020). Common cause and load-sharing failures-based reliability analysis for parallel systems. Eksploatacja i niezawodność, 22(1). http://dx.doi.org/10.17531/ein.2020.1.4
[13] de Paula, C. P., Visnadi, L. B., & de Castro, H. F. (2019). Multi-objective optimization in redundant system considering load sharing. Reliability engineering & system safety, 181, 17–27. https://doi.org/10.1016/j.ress.2018.08.012
[14] Xu, H., Fang, Y., & Fard, N. (2018). Optimal design for resilient load-sharing systems with nonidentical components. Quality and reliability engineering international, 34(6), 1254–1270.
[15] Kayedpour, F., Amiri, M., Rafizadeh, M., & Nia, A. S. (2017). Multi-objective redundancy allocation problem for a system with repairable components considering instantaneous availability and strategy selection. Reliability engineering \& system safety, 160, 11–20. https://doi.org/10.1016/j.ress.2016.10.009
[16] Zhao, X., Liu, B., & Liu, Y. (2018). Reliability modeling and analysis of load-sharing systems with continuously degrading components. IEEE transactions on reliability, 67(3), 1096–1110. https://doi.org/10.1109/TR.2018.2846649
[17] Xiao, H., Shi, D., Ding, Y., & Peng, R. (2016). Optimal loading and protection of multi-state systems considering performance sharing mechanism. Reliability engineering & system safety, 149, 88–95. https://doi.org/10.1016/j.ress.2015.12.001
[18] Sharifi, M., Cheragh, G., Maljaii, K. D., Zaretalab, A., & Fakre Daei, A. V. (2015). Reliability optimization of a series-parallel k-out-of-n system with failure rate depends on working components of system. International journal of industrial engineering, 22(4). https://www.researchgate.net/profile/Arash-Zaretalab/publication/281061933
[19] Liu, B., Cui, L., Wen, Y., & Shen, J. (2015). A cold standby repairable system with working vacations and vacation interruption following Markovian arrival process. Reliability engineering & system safety, 142, 1–8. https://doi.org/10.1016/j.ress.2015.04.010
[20] Han, Y., Wen, Y., Guo, C., & Huang, H. (2015). Incorporating cyber layer failures in composite power system reliability evaluations. Energies, 8(9), 9064–9086. https://doi.org/10.3390/en8099064
[21] Guo, J., Wang, Z., Zheng, M., & Wang, Y. (2014). Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm. Chinese journal of aeronautics, 27, 1477–1487. https://doi.org/10.1016/j.cja.2014.10.014
[22] Zoulfaghari, H., Zeinal Hamadani, A., & Ardakan, M. (2013). Bi-objective redundancy allocation problem for a system with mixed repairable and non-repairable components. ISA transactions, 53. https://doi.org/10.1016/j.isatra.2013.08.002
[23] Noormohammadi, G., Safari, J., Najafi, A. & Movahedi Sobhani, F. (2025). Defense and attack strategy optimization for reliability systems with virtual components and active redundancy using a game theory approach, 10(1), 109-124. (In Persian). doi.org/10.22105/dmor.2025.497532.1902.
[24] Wu, R., Li, Y., Guo, S., & Wenxiang, X. (2018). Solving the dual-resource constrained flexible job shop scheduling problem with learning effect by a hybrid genetic algorithm. Advances in mechanical engineering, 10. https://doi.org/10.1177/1687814018804096
[25] Janbaz, S., Davoodi, S. M., & Abdolbaghi Ataabadi, A. (2023). Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in manufacturing projects using non-dominated sorting genetic algorithm. Journal of decisions and operations research, 8(4), 975-992 (In Persian). https://doi.org/10.22105/dmor.2023.367956.1681
[26] farughi, hiva, & Solgi, Z. (2017). Multi-objective optimization of redundancy and reliability allocation in multi-state series-parallel systems. Journal of quality engineering and management, 7(3), 176–185. https://www.pqprc.ir/article_79601.html?lang=en
[27] Billinton, Roy & Allen, R. (2022). Reliability assessment of engineering systems. https://doi.org/10.1007/978-1-4899-0685-4
[28] Abouei Ardakan, M., & Zeinal Hamadani, A. (2014). Reliability optimization of series–parallel systems with mixed redundancy strategy in subsystems. Reliability engineering & system safety, 130, 132–139. https://doi.org/10.1016/j.ress.2014.06.001
[29] Peiravi, A., Karbasian, M., & Abouei Ardakan, M. (2018). K-mixed strategy: A new redundancy strategy for reliability problems. Proceedings of the institution of mechanical engineers, part o: journal of risk and reliability, 232(1), 38–51. https://journals.sagepub.com/doi/abs/10.1177/1748006x17736166
[30] Robinson, D. G., & Neuts, M. F. (1989). An algorithmic approach to increased reliability through standby redundancy. IEEE transactions on reliability, 38(4), 430–435. https://doi.org/10.1109/24.46457
[31] Sahoo, L. (2017). Genetic algorithm based approach for reliability redundancy allocation problems in fuzzy environment. International journal of mathematical, engineering and management sciences, 2(4), 259–272. https://dx.doi.org/10.33889/IJMEMS.2017.2.4-020
