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1. اﻗﺒﺎﻟﯽ ﺑﺎﺑﺎﺩﯼ، ﻉ.، ﮐﺮﺑﺎﺳﯿﺎﻥ، ﻡ.، ﺍﺭﺩﺷﯿﺮﯼ، ﺱ. ﻭ ﺣﺴﻨﯽ، ﻑ. (۱۳۹۵)، ﺍﺭﺍﺋﻪ ﺭﻭﺷﯽ ﻣﺒﺘﻨﯽ ﺑﺮ ﻣﺪﻝ PDS ﻭ ﺗﮑﻨﯿﮏ AHP برای ﻣﺤﺎﺳﺒﻪ ﻭ ﻗﺎﺑﻠﯿﺖ ﺍﻃﻤﯿﻨﺎﻥ ﺑﺎ ﺩﺭ ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﺷﮑﺴﺖ ﻋﻠﺖ ﻣﺸﺘﺮﮎ ﺑﺮﺍﯼ ﺍﺟﺰﺍ ﻏﯿﺮ ﯾﮑﺴﺎﻥ (ﻣﻄﺎﻟﻌﻪ ﻣﻮﺭﺩﯼ ﺧﺮﻭﺟﯽ ﺳﯿﺴﺘﻢ ﺗﺜﺒﯿﺖ ﻣﻮﻗﻌﯿﺖ ﺩﯾﻨﺎﻣﯿﮑﯽ ﯾﮏ ﺷﻨﺎﻭﺭ) ،ﻧﺸﺮﯾﻪ ﻣﻬﻨﺪﺳﯽ ﻭ ﻣﺪﯾﺮﯾﺖ ﮐﯿﻔﯿﺖ، (6)۲، ۱۱۷− ۱۰۳. 2. ﭘﻮﺭﺳﻌﯿﺪ، ﻡ.ﺡ. ﻭ ﺍﺳﺪﯾﺎﻥ، ﻥ. (۱۳۹۹)، ﻣﺪﻟﯽ ﺍﺯ ﺷﻮﮎ ﮔﺮﺩﺷﯽ ﺩﺭ ﺣﺎﻟﺖ ﮔﺴﺴﺘﻪ، ﻣﺠﻠﻪ ﻋﻠﻮﻡ ﺁﻣﺎﺭﯼ، (14(1، ۵۵ −۷۲. 3. مرﺗﻀﻮﯼ، ﺱ.ﻡ. ﻭ ﮐﺮﺑﺎﺳﯿﺎﻥ، ﻡ.(۱۳۹۸)، ﺍﺭﺯﯾﺎﺑﯽ ﻗﺎﺑﻠﯿﺖ ﺍﻃﻤﯿﻨﺎﻥ ﺳﯿﺴﺘﻤﻬﺎﯼ ﭼﻨﺪﻭﺿﻌﯿﺘﯽ ﺗﻌﻤﯿﺮﭘﺬﯾﺮ ﺑﺎ ﺩﺭ ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﺧﺮﺍﺑﯽ ﻫﺎﯼ ﻭﺍﺑﺴﺘﻪ ﺑﻪ ﻭﺳﯿﻠﻪ ﺩﺭﺧﺖ ﺧﺮﺍﺑﯽ ﭘﻮﯾﺎ ﻭ ﺷﺒﮑﻪ ﻫﺎﯼ ﺑﯿﺰﯼ ﭘﻮﯾﺎ، ﻣﻬﻨﺪﺳﯽ ﺻﻨﺎﯾﻊ ﻭ ﻣﺪﯾﺮﯾﺖ ﺷﺮﯾﻒ، (35)۱، ۱۰۴− ۹۱. 4. Eghbalibabadi, A., Karbasian, M., Ardashiri, S. and Hassani, F. (1395), Presenting a Method Based on PDS Model and AHP Technique for Calculating and Analyzing Reliability Considering the Common Cause Failure for Non-Uniform Components (Case Study of the Output of the Dynamic Position Stabilization System of a Vessel), Journal of Quality Engineering and Management, 2(6), 103-117. 5. Poursaeed, M.H. and Asadian, N. (1399), A Model of a Discrete-State Run Shock Model, Journal of Statistical Sciences, 1(14), 55-72. [ DOI:10.29252/jss.14.1.55] 6. Mortazavi, S. M. and Karbasian, M. (1398), Evaluation Reliability of Multi-State Repairable Systems by Considering Common Cause Failure and Cascading Failure Using Dynamic Fault Tree and Dynamic Bayesian Networks, Sharif Journal of Industrial Engineering, 1(35), 91-104. 7. Belzunce, F., Mercader, J. A., Ruiz, J. M. and Spizzichino, F. (2009), Stochastic Comparisons of Multivariate Mixture Models, Journal of Multivariate Analysis, 100, 1657-1669. [ DOI:10.1016/j.jmva.2009.01.013] 8. Eryilmaz, S. (2015), Assessment of a Multi-state System under a Shock Model, Applied Mathematics and Computation, 269, 1-8. [ DOI:10.1016/j.amc.2015.06.129] 9. Jin, Y. and Zhang, Q. (2024), Cascading Failure Modeling for Circuit Systems Considering Continuous Degradation and Random Shocks Using an Impedance Network, Symmetry, 16, 488. [ DOI:10.3390/sym16040488] 10. Lisnianski, A., Frenkel, I. and Ding, Y. (2010), Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers, Springer. [ DOI:10.1007/978-1-84996-320-6] 11. Lorvand, H., Nematollahi, A.R. and Poursaeed, M.H. (2020), Assessment of a Generalized Discrete Time Mixed δ-shock Model for the Multi-state Systems, Journal of Computational and Applied Mathematics, 366, 112415. [ DOI:10.1016/j.cam.2019.112415] 12. Navarro, J. (2016), Stochastic Comparisons of Generalized Mixtures and Coherent Systems, Test, 25, 150-169. [ DOI:10.1007/s11749-015-0443-5] 13. Ozkut, M., Kan, C. and Franko, C. (2024), Analyzing the Multi-state System under a Run Shock Model, Probability in the Engineering and Informational Sciences, 38(4), 619-631. [ DOI:10.1017/S0269964824000019] 14. Poursaeed, M.H. (2018), On δ-shock Model in a Multi-state System, Communications in Statistics- Theory and Methods, 49(7), 1761-1767. [ DOI:10.1080/03610926.2019.1565784] 15. Shanthikumar, J. G., and Sumita, U. (1983), General Shock Models Associated with Correlated Renewal Sequences, Journal of Applied Probability, 20(3), 600-614. [ DOI:10.2307/3213896] 16. Song, X., Zhao, P., Yin, R., Zu, Y. and Zhang, Y. (2025), Cascading Failure Model and Resilience-Based Sequential Recovery Strategy for Complex Networks, Reliability Engineering and System Safety, 253, 110488. [ DOI:10.1016/j.ress.2024.110488] 17. Zhao, Y., Sun, T. and Liu, Y. (2024), Reliability Analysis of a Loading Dependent System with Cascading Failures Considering Overloads, Quality and Reliability Engineering International, 40, 1182-1196. [ DOI:10.1002/qre.3475] 18. Zhao, Y., Cai, B. Cozzani, V. and Liu, Y. (2024), Failure Dependence and Cascading Failures: A Literature Review and Research Opportunities, Reliability Engineering and System Safety, 256, 110766. [ DOI:10.1016/j.ress.2024.110766] 19. Wang, G. J. and Zhang, Y. L. (2001), δ-shock Model and Its Optimal Replacement Policy, Southeast University Journal, 31, 121-124.
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