A Copula-Driven Framework for Optimizing the Performance of a Serial System with Inbuilt Redundancy
محورهای موضوعی : Mathematical OptimizationIbrahim Yusuf 1 , Sanusi Abdullahi 2 , AMEER ABDULLAHI 3 , Abdulhadi Aminu 4 , Alhassan Ibrahim 5 , Ali Isa Sambo 6
1 - Department of Mathematical Sciences, Bayero University, Kano, Nigeria
2 - Bayero University, Kano
3 - MATHEMATICS, FACUMS, ALIKO DANGOTE UNIVERSITY OF SCIENCE AND TECHNOLOGY WUDIL, KANO STATE, NIGERIA
4 - Department of Mathematics, Aliko Dangote University of science and technology wudil
5 - School of Continuing Education, Bayero University, Kano, Nigeria
6 - Aliko Dangote University of Science and Technology, Kano, Nigeria
کلید واژه: Reliability, maintenance, serial, redundancy,
چکیده مقاله :
This study introduces a novel Copula-Driven Framework (CDF) specifically designed to enhance the reliability and performance of serial systems, which play vital roles in various industrial processes. Effective operation of serial systems is paramount for overall system performance. However, traditional methods of reliability assessment and optimization tend to treat system components as independent entities, disregarding potential synergies and correlations among them. The CDF proposed in this research harnesses Copula theory to accurately model and analyze these interdependencies. It initiates by establishing a Copula-based dependency structure among the critical components of the serial system, considering both the strength and directionality of correlations. This comprehensive modelling approach enables the CDF to unveil hidden relationships that significantly impact system reliability and performance, often overlooked in conventional methodologies. By incorporating copula-derived dependencies, the framework facilitates the identification of the most effective repair policies aimed at optimizing system performance. This innovative approach offers a more holistic perspective, ensuring that critical interconnections within the system are accounted for, thus enabling more accurate reliability assessments and enhanced performance optimization strategies.
This study introduces a novel Copula-Driven Framework (CDF) specifically designed to enhance the reliability and performance of serial systems, which play vital roles in various industrial processes. Effective operation of serial systems is paramount for overall system performance. However, traditional methods of reliability assessment and optimization tend to treat system components as independent entities, disregarding potential synergies and correlations among them. The CDF proposed in this research harnesses Copula theory to accurately model and analyze these interdependencies. It initiates by establishing a Copula-based dependency structure among the critical components of the serial system, considering both the strength and directionality of correlations. This comprehensive modelling approach enables the CDF to unveil hidden relationships that significantly impact system reliability and performance, often overlooked in conventional methodologies. By incorporating copula-derived dependencies, the framework facilitates the identification of the most effective repair policies aimed at optimizing system performance. This innovative approach offers a more holistic perspective, ensuring that critical interconnections within the system are accounted for, thus enabling more accurate reliability assessments and enhanced performance optimization strategies.
Bisht, S., Kumar, A., Goyal, N. and Ram, M. Reliability Characteristics of Industrial System Using Copula in Repair”, 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2020, pp. 1265-1267, doi:10.1109/ICRITO48877.2020.9197876.
Chen, L., Wang, J and Xu, X. An energy-client single machine scheduling problem with machine reliability constraints. Comput. Ind. Eng., (2019), 137
Cekyay B. Reliability of mission-based k-out-of-n systems with exponential phase durations and component lifetimes. Proc Inst Mech Eng O-J Ris Reliab 235(3), (2020), 446–457.
Gökdere, G and Tony, H,K Ng (2022) Time-dependent reliability analysis for repairable consecutive -k-out-of-n: F system, Statistical Theory and Related Fields, 6:2, 139-147, https://doi.org/10.1080/24754269.2021.1971489.
Hu, L., Bai, Z and Yang, X. Reliability modeling and evaluation of uncertain random cold standby k-out-of-m + n: G systems. J Ambient Intell Human Comput,(2022). https://doi.org/10.1007/s12652-022-04075-6.
Isa, M.S, Yusuf I., Ali, U.A., Suleiman, K., Yusuf, B., and Ismail A.L. Reliability Analysis of Multi-Workstation Computer Network Configured as Series-Parallel System via Gumbel - Hougaard Family Copula, International Journal of Operations Research, 19(1): (2022), 13-26.
Rawal, D.K., Sahani, S.K and Singh, V.V. Reliability assessment of multi-computer system consisting n clients and the k-out-of-n: G operation scheme with copula repair policy. Life Cycle Reliab Saf Eng 11, (2022), 163–175. https://doi.org/10.1007/s41872-022-00192-5
Singh, V.V., Ismail, A.L., Chand, U. and Maiti, S.S. Performance assessment of complex system under the k-out-of-n: G type configuration with k consecutive degraded states through the copula repair approach’, International Journal of Reliability, Quality and Safety Engineering, Vol. 29, No. 2, (2022) , p.2150047, https://doi.org/10.1142/S0218539321500479.
Tyagi, V., Arora, R., Ram, M and Triantafyllou, I. S. Copula based Measures of Repairable Parallel System with Fault Coverage. International Journal of Mathematical, Engineering and Management Sciences. (2021). DOI:10.33889/IJMEMS.2021.6.1.021.
Xie, L., Lundteigen, M.A., Liu, Y., Kassa, E and Zhu, S. Performance Assessment of Safety-instrumented Systems Subject to Cascading Failures in High-demand Mode, Proceedings of the 29th European Safety and Reliability Conference (ESREL), (2019), DOI: 10.3850/978-981-11-2724-3_0318-cd.
Yemane, A and Colledani, M. Performance analysis of unreliable manufacturing systems with uncertain reliability parameters estimated from production data, International Journal of Computer Integrated Manufacturing, (2019), DOI: 10.1080/0951192X.2019.1644535.
Ye, Z., Cai, Z., Si, S., Zhang, S and Yang, H. Competing Failure Modeling for Performance Analysis of Automated Manufacturing Systems with Serial Structures and Imperfect Quality Inspection, IEEE Transactions on Industrial Informatics, vol. 16, no. 10, (2020), 6476-6486. doi: 10.1109/TII.2020.2967030.
Zhang, N., Tian, S., Li,L., Wang, Z and Zhang, J. Maintenance analysis of a partial observable K-out-of-N system with load sharing units, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, (2022), https://doi.org/10.1177/1748006X221109351.
Zhang, A., Hao, S., Li, P., Xie, M and Liu, Y. Performance modeling for condition-based activation of the redundant safety system subject to harmful tests, Reliability Engineering and System Safety, Volume 226, (2022), 108649. https://doi.org/10.1016/j.ress.2022.108649.
Zhang, H, Li., A.P and Liu., X.M. Modeling and performance evaluation of a multistage serial manufacturing system considering rework and product polymorphism. Chin J Mech Eng; 53: (2017). 191–201.
Zhao,B., Yue, D., Liao, H., Liu, Y and Zhang, X. Performance analysis and optimization of a cold standby system subject to δ-shocks and imperfect repairs, Reliability Engineering and System Safety,2021, Volume 208. https://doi.org/10.1016/j.ress.2020.107330