SCIENCE CHINA Information Sciences, Volume 64 , Issue 8 : 189203(2021) https://doi.org/10.1007/s11432-018-9804-9

A joint order-replacement policy for deteriorating components with reliability constraint

More info
  • ReceivedOct 23, 2018
  • AcceptedFeb 26, 2019
  • PublishedJun 2, 2020


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant Nos. 61773386, 61573366), and National Key RD Program of China (Grant No. 2018YFB1306100).


Appendixes A–C.


[1] Zhang Z X, Si X S, Hu C H. Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods. Eur J Operational Res, 2018, 271: 775-796 CrossRef Google Scholar

[2] Wang Z Q, Wang W B, Hu C H. A Prognostic-Information-Based Order-Replacement Policy for a Non-Repairable Critical System in Service. IEEE Trans Rel, 2015, 64: 721-735 CrossRef Google Scholar

[3] Nakagawa T, Osaki S. Optimum ordering policies with lead time for an operating unit. RAIRO-Oper Res, 1978, 12: 383-393 CrossRef Google Scholar

[4] Armstrong M J, Atkins D R. Joint optimization of maintenance and inventory policies for a simple system. IIE Trans, 1996, 28: 415-424 CrossRef Google Scholar

[5] Elwany A H, Gebraeel N Z. Sensor-driven prognostic models for equipment replacement and spare parts inventory. IIE Trans, 2008, 40: 629-639 CrossRef Google Scholar

[6] Louit D, Pascual R, Banjevic D. Condition-based spares ordering for critical components. Mech Syst Signal Processing, 2011, 25: 1837-1848 CrossRef ADS Google Scholar

[7] Si X S, Wang W B, Hu C H. Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process. IEEE Trans Rel, 2012, 61: 50-67 CrossRef Google Scholar

[8] Chow S M, Ferrer E, Nesselroade J R. An Unscented Kalman Filter Approach to the Estimation of Nonlinear Dynamical Systems Models.. Multivariate Behaval Res, 2007, 42: 283-321 CrossRef PubMed Google Scholar