Skip to main content
Log in

Comparisons of coherent systems with active redundancy and component lifetimes following the proportional odds model

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

The use of redundancies or spares in a system is a widely adopted technique to enhance system reliability and reduce the risk of system failure. Redundancies are typically incorporated into systems at the component or system levels. It is a significant problem to allocate appropriate redundancies into a system from a set of available options for the same. In this paper, we establish sufficient conditions to compare the reliability of coherent systems of dependent components with different sets of active redundancy, whether at the component level or the system level, based on some stochastic orders. We have obtained the results for the component lifetimes following the proportional odds (PO) model (the Marshall–Olkin family of distributions) for any lifetime distribution as a baseline distribution. We have studied the problem in the most general setup, with the consideration of coherent system that includes most of the common system structures, the consideration of non-matching spares, the consideration of dependencies of the components with different associated parameters of the copulas, and the consideration of general distribution as the baseline distribution of the PO model. We provide examples satisfying the sufficient conditions of the theoretical results. Additionally, we illustrate some of the results using real-world data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The data analyzed during the current study are available in Hand et al. (1993).

References

  • Alshenawy, R., Haj Ahmad, H., & Al-Alwan, A. (2022). Progressive censoring schemes for Marshall–Olkin pareto distribution with applications: Estimation and prediction. Plos One, 17(7), e0270750.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Barreto-Souza, W., Lemonte, A. J., & Cordeiro, G. M. (2013). General results for the Marshall and Olkin’s family of distributions. Anais da Academia Brasileira de Ciências, 85, 3–21.

    Article  MathSciNet  Google Scholar 

  • Bennett, S. (1983). Analysis of survival data by the proportional odds model. Statistics in Medicine, 2(2), 273–277.

    Article  CAS  PubMed  Google Scholar 

  • Boland, P. J. (2007). Statistical and probabilistic methods in actuarial science. Chapman and Hall/CRC.

  • Brito, G., Zequeira, R. I., & Valdés, J. E. (2011). On the hazard rate and reversed hazard rate orderings in two-component series systems with active redundancies. Statistics & Probability Letters, 81(2), 201–206.

    Article  MathSciNet  Google Scholar 

  • Caroni, C. (2010). Testing for the Marshall–Olkin extended form of the Weibull distribution. Statistical Papers, 51, 325–336.

    Article  MathSciNet  Google Scholar 

  • Cordeiro, G. M., Lemonte, A. J., & Ortega, E. M. (2014). The Marshall–Olkin family of distributions: Mathematical properties and new models. Journal of Statistical Theory and Practice, 8(2), 343–366.

    Article  MathSciNet  Google Scholar 

  • Da, G., & Ding, W. (2015). Component level versus system level \( k \)-out-of-\( n \) assembly systems. IEEE Transactions on Reliability, 65(1), 425–433.

    Article  Google Scholar 

  • Dey, S., Nassar, M., Maurya, R. K., & Tripathi, Y. M. (2018). Estimation and prediction of Marshall–Olkin extended exponential distribution under progressively type-II censored data. Journal of Statistical Computation and Simulation, 88(12), 2287–2308.

    Article  MathSciNet  Google Scholar 

  • Genest, C., Rémillard, B., & Beaudoin, D. (2009). Goodness-of-fit tests for copulas: A review and a power study. Insurance: Mathematics and economics, 44(2), 199–213.

    MathSciNet  Google Scholar 

  • George, R., & Thobias, S. (2017). Marshall–Olkin Kumaraswamy distribution. In International Mathematical Forum, 12, 47–69.

    Article  Google Scholar 

  • Ghanbari, S., Rezaei Roknabadi, A., & Salehi, M. (2022). Estimation of stress-strength reliability for Marshall–Olkin distributions based on progressively type-II censored samples. Journal of Applied Statistics, 49(8), 1913–1934.

    Article  MathSciNet  PubMed  Google Scholar 

  • Ghitany, M., & Kotz, S. (2007). Reliability properties of extended linear failure-rate distributions. Probability in the Engineering and informational Sciences, 21(3), 441–450.

    Article  MathSciNet  Google Scholar 

  • Ghitany, M., Al-Hussaini, E., & Al-Jarallah, R. (2005). Marshall–Olkin extended Weibull distribution and its application to censored data. Journal of Applied Statistics, 32(10), 1025–1034.

    Article  MathSciNet  Google Scholar 

  • Ghitany, M., Al-Awadhi, F., & Alkhalfan, L. (2007). Marshall–Olkin extended Lomax distribution and its application to censored data. Communications in Statistics-Theory and Methods, 36(10), 1855–1866.

    Article  MathSciNet  Google Scholar 

  • Ghoraf, N. (2007). r-consecutive-k-out-of-n: F systems with dependent components. International Journal of Reliability, Quality and Safety Engineering, 14(04), 399–410.

    Article  Google Scholar 

  • González-Hernández, I. J., Granillo-Macías, R., Rondero-Guerrero, C., & Simón-Marmolejo, I. (2021). Marshall–Olkin distributions: A bibliometric study. Scientometrics, 126(11), 9005–9029.

    Article  Google Scholar 

  • Gupta, R. C., & Gupta, R. D. (2007). Proportional reversed hazard rate model and its applications. Journal of Statistical Planning and Inference, 137(11), 3525–3536.

    Article  MathSciNet  Google Scholar 

  • Haidari, A., Najafabadi, A. T. P., & Balakrishnan, N. (2019). Comparisons between parallel systems with exponentiated generalized gamma components. Communications in Statistics—Theory and Methods, 48(6), 1316–1332.

    Article  MathSciNet  Google Scholar 

  • Hand, D. J., Daly, F., McConway, K., Lunn, D., & Ostrowski, E. (1993). A handbook of small data sets. CRC Press.

  • Hazra, N. K., & Misra, N. (2020). On relative ageing of coherent systems with dependent identically distributed components. Advances in Applied Probability, 52(1), 348–376.

    Article  MathSciNet  Google Scholar 

  • Hazra, N. K., & Nanda, A. K. (2014). Component redundancy versus system redundancy in different stochastic orderings. IEEE Transactions on Reliability, 63(2), 567–582.

    Article  Google Scholar 

  • Hazra, N. K., Finkelstein, M., & Cha, J. H. (2017). On optimal grouping and stochastic comparisons for heterogeneous items. Journal of Multivariate Analysis, 160, 146–156.

    Article  MathSciNet  Google Scholar 

  • Jeddi, H., & Doostparast, M. (2022). Allocation of redundancies in systems: A general dependency-base framework. Annals of Operations Research, 312(1), 259–273.

    Article  MathSciNet  Google Scholar 

  • Kelkinnama, M. (2021). Stochastic comparisons between coherent systems with active redundancies under proportional hazards and reversed hazards models. International Journal of Reliability, Quality and Safety Engineering, 28(01), 2150007.

    Article  Google Scholar 

  • Kirmani, S., & Gupta, R. C. (2001). On the proportional odds model in survival analysis. Annals of the Institute of Statistical Mathematics, 53(2), 203–216.

    Article  MathSciNet  Google Scholar 

  • Kundu, P., Hazra, N. K., & Nanda, A. K. (2020). Reliability study of series and parallel systems of heterogeneous component lifetimes following proportional odds model. Statistics, 54(2), 375–401.

    Article  MathSciNet  Google Scholar 

  • Marshall, A. W., & Olkin, I. (1997). A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika, 84(3), 641–652.

    Article  MathSciNet  Google Scholar 

  • Marshall, A. W., & Olkin, I. (2007). Life distributions (Vol. 13). Springer.

  • Maxwell, O., Chukwu, A. U., Oyamakin, O. S., & Khaleel, M. A. (2019). The Marshall–Olkin inverse Lomax distribution (MO-ILD) with application on cancer stem cell. Journal of Advances in Mathematics and Computer Science, 33(4), 1–12.

    Article  Google Scholar 

  • Misra, N., Dhariyal, I. D., & Gupta, N. (2009). Optimal allocation of active spares in series systems and comparison of component and system redundancies. Journal of Applied Probability, 46(1), 19–34.

    Article  MathSciNet  Google Scholar 

  • Mohammadi, Z. (2023). Reliability of coherent systems with multiple types of dependent components with an active redundancy. Thailand Statistician, 21(2), 244–256.

    Google Scholar 

  • Navarro, J. (2016). Stochastic comparisons of generalized mixtures and coherent systems. Test, 25(1), 150–169.

    Article  MathSciNet  Google Scholar 

  • Navarro, J., & Spizzichino, F. (2010). Comparisons of series and parallel systems with components sharing the same copula. Applied Stochastic Models in Business and Industry, 26(6), 775–791.

    Article  MathSciNet  Google Scholar 

  • Panja, A., Kundu, P., & Pradhan, B. (2021). Stochastic comparisons of lifetimes of series and parallel systems with dependent and heterogeneous components. Operations Research Letters, 49(2), 176–183.

    Article  MathSciNet  Google Scholar 

  • Ristic, M. M., Jose, K., & Ancy, J. (2007). A Marshall–Olkin gamma distribution and minification process. Stress Anxiety Res Soc, 11, 107–117.

    Google Scholar 

  • Rocha, R., Nadarajah, S., Tomazella, V., & Louzada, F. (2017). A new class of defective models based on the Marshall–Olkin family of distributions for cure rate modeling. Computational Statistics & Data Analysis, 107, 48–63.

    Article  MathSciNet  Google Scholar 

  • Shaked, M., & Shanthikumar, J. G. (2007). Stochastic orders. Springer.

  • Tahir, M. H., & Nadarajah, S. (2015). Parameter induction in continuous univariate distributions: Well-established g families. Anais da Academia Brasileira de Ciências, 87, 539–568.

    Article  MathSciNet  PubMed  Google Scholar 

  • Yang, Q., Zhang, N., & Hong, Y. (2013). Reliability analysis of repairable systems with dependent component failures under partially perfect repair. IEEE Transactions on Reliability, 62(2), 490–498.

    Article  Google Scholar 

  • Zhang, Y., Amini-Seresht, E., & Ding, W. (2017). Component and system active redundancies for coherent systems with dependent components. Applied Stochastic Models in Business and Industry, 33(4), 409–421.

    Article  MathSciNet  CAS  Google Scholar 

  • Zhao, P., Zhang, Y., & Qiao, J. (2016). On extreme order statistics from heterogeneous Weibull variables. Statistics, 50(6), 1376–1386.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors are thankful to the Editor and the anonymous Reviewers for their valuable suggestions, which have led to an improved version of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pradip Kundu.

Ethics declarations

Conflict of interest

The authors have no conflict of interest/competing interests to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Panja, A., Kundu, P. & Pradhan, B. Comparisons of coherent systems with active redundancy and component lifetimes following the proportional odds model. Ann Oper Res (2024). https://doi.org/10.1007/s10479-024-05861-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10479-024-05861-5

Keywords

Navigation