Simulation-based system reliability estimation of a multi-state flow network for all possible demand levels
Author:
Funder
National Science and Technology of Taiwan
National Science and Technology Council of Taiwan
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10479-024-06141-y.pdf
Reference39 articles.
1. Bai, G. H., Zuo, M. J., & Tian, Z. G. (2015a). Ordering heuristics for reliability evaluation of multistate networks. IEEE Transactions on Reliability, 64(3), 1015–1023.
2. Bai, G. H., Zuo, M. J., & Tian, Z. G. (2015b). Search for all d-MPs for all d levels in multistate two-terminal networks. Reliability Engineering & System Safety, 142, 300–309.
3. Ball, M. O. (1986). Computational complexity of network reliability analysis: An overview. IEEE Transactions on Reliability, 35(3), 230–239.
4. Bonate, P. L. (2001). A brief introduction to Monte Carlo simulation. Clinical Pharmacokinetics, 40, 15–22.
5. Chang, P.-C. (2019). Reliability estimation for a stochastic production system with finite buffer storage by a simulation approach. Annals of Operations Research, 277, 119–133.
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