Abstract
In this paper, extended preventive replacement models for series and parallel system with n independent non-identical components are proposed. It is assumed that the system suffers from two types of failure. One is repairable (type-I) failure, at that time the system can be rectified by minimal repair. Another is non-repairable (type-II) failure, then the whole system is replaced. In the proposed models, the system is replaced at the planned time, at random working time, or at the time when type-II failure occurs, with options whichever occurs first or whichever occurs last. The average cost rate (ACR) function and the failure rate function (FRF) of the series and parallel system under the different cases are obtained respectively. Moreover, the optimal preventive replacement time of models based on minimization of the ACR function is obtained theoretically. Numerical examples are presented to evaluate the cost of the system and verify the performance of our results.
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References
Barlow, R., & Hunter, L. (1960). Optimum preventive maintenance policies. Operations Research, 8(1), 90–100.
Beichelt, F. (1993). A unifying treatment of replacement policies with minimal repair. Naval Research Logistics (NRL), 40(1), 51–67.
Block, H. W., Borges, W. S., & Savits, T. H. (1985). Age-dependent minimal repair. Journal of Applied Probability, 22(2), 370–385.
Brown, M., & Proschan, F. (1983). Imperfect repair. Journal of Applied Probability, 20(4), 851–859.
Chang, C. C. (2014). Optimum preventive maintenance policies for systems subject to random working times, replacement, and minimal repair. Computers & Industrial Engineering, 67, 185–194.
Chang, C. C., Sheu, S. H., & Chen, Y. L. (2010). Optimal number of minimal repairs before replacement based on a cumulative repair-cost limit policy. Computers & Industrial Engineering, 59(4), 603–610.
Chen, M., Mizutani, S., & Nakagawa, T. (2010a). Random and age replacement policies. International Journal of Reliability, Quality and Safety Engineering, 17(01), 27–39.
Chen, M., Nakamura, S., & Nakagawa, T. (2010b). Replacement and preventive maintenance models with random working times. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 93(2), 500–507.
Drinkwater, R. W., & Hastings, N. A. J. (1967). A economic replacement model. Journal of the Operational Research Society, 18(2), 121–138.
Hastings, N. (1969). The repair limit replacement method. Journal of the Operational Research Society, 20(3), 337–349.
Ito, K., Zhao, X., & Nakagawa, T. (2017). Random number of units for k-out-of-n systems. Applied Mathematical Modelling, 45, 563–572.
Jardine, A. K. S., & Tsang, A. H. C. (2013). Maintenance, replacement, and reliability: Theory and applications. Boca Raton: CRC Press.
Ji, H. C. (2016). Optimal replacement of heterogeneous items with minimal repairs. IEEE Transactions on Reliability, 65(2), 593–603.
Lam, Y. (2007). The geometric process and its applications. Singapore: World Scientific.
Nakagawa, T. (2006). Maintenance theory of reliability. Berlin: Springer Science & Business Media.
Nakagawa, T., & Zhao, X. (2012). Optimization problems of a parallel system with a random number of units. IEEE Transactions on Reliability, 61(2), 543–548.
Pham, H., & Wang, H. (1996). Imperfect maintenance. European Journal of Operational Research, 94(3), 425–438.
Proschan, F. (1965). Mathematical theory of reliability. Hoboken: Wiley.
Ross, S. M. (1992). Applied probability models with optimization applications. Mineola, NY: Dover Publications.
Sheu, S. H., Liu, T. H., Zhang, Z. G., & Tsai, H. N. (2018). The generalized age maintenance policies with random working times. Reliability Engineering & System Safety, 169, 503–514.
Stadje, W. (2003). Renewal analysis of a replacement process. Operations Research Letters, 31(1), 1–6.
Sugiura, T. (2004). Optimal random replacement policies. Tenth ISSAT International Conference on Reliability and Quality Design, 2004, 99–103.
Wu, S., & Scarf, P. (2017). Two new stochastic models of the failure process of a series system. European Journal of Operational Research, 257(3), 763–772.
Young Yun, W., & Hyeon Choi, C. (2000). Optimum replacement intervals with random time horizon. Journal of Quality in Maintenance Engineering, 6(4), 269–274.
Zhao, X., Nakagawa, T., & Qian, C. (2012). Optimal imperfect preventive maintenance policies for a used system. Milton Park: Taylor & Francis, Inc.
Zhao, X., Qian, C., & Nakagawa, T. (2013). Optimal policies for cumulative damage models with maintenance last and first. Reliability Engineering & System Safety, 110, 50–59.
Zhao, X., Qian, C., & Nakagawa, T. (2017). Comparisons of replacement policies with periodic times and repair numbers. Reliability Engineering & System Safety, 168, 161–170.
Acknowledgements
This work was supported by National Natural Science Foundation of China [Grant Numbers 61573014, 11501433], the Fundamental Research Funds for the Central Universities [Grant Number JB180702] and the China Postdoctoral Science Foundation [Grant number 2019M650260]. The authors would like to thank sincerely the editor and the anonymous referees for furnishing components and valuable suggestions that improved the quality of this paper.
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This work was supported by National Natural Science Foundation of China [Grant Numbers 61573014, 11501433], and the Fundamental Research Funds for the Central Universities [Grant Number JB180702] and the China Postdoctoral Science Foundation [Grant number 2019M650260].
Appendices
Appendix A
Derivation of Eq. (8)
Derivation of Eq. (9)
Derivation of Eq. (10)
Appendix B
Derivation of Eq. (22)
Derivation of Eq. (23)
Derivation of Eq. (24)
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Wang, J., Ye, J. & Wang, L. Extended age maintenance models and its optimization for series and parallel systems. Ann Oper Res 312, 495–517 (2022). https://doi.org/10.1007/s10479-019-03355-3
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DOI: https://doi.org/10.1007/s10479-019-03355-3