Publications

Journal Articles

(* denotes student author; Dr. Xiang’s Google Scholar Profile Link)

  1. Panda, S. K.*, Xiang, Y., and Liu, R. (2024). Dynamic resource matching in manufacturing using deep reinforcement learning. European Journal of Operational Research (in print).
  2. Tang, X., Xiao, H., Kou, G., and Xiang, Y. (2024). Joint Optimization of Condition-Based Maintenance and Spare Parts Ordering for a Hidden Multi-State Deteriorating System. IEEE Transactions on Reliability (in print).
  3. Zhang, Q., Liu, Y., Xiang, Y., and Xiahou, T. (2024). Reinforcement Learning in Reliability and Maintenance Optimization: A Tutorial.  Reliability Engineering & System Safety (in print).
  4. Bediako, E. K.*, Xiang, Y., and Alaswad, S. (2024). Optimal Hydrocarbon Piping Replacement Decisions Using the Markov Decision Process. Journal of Pipeline Systems Engineering and Practice, 15(3), 04024021.
  5. Liao, Y.∗, Xiang, Y., Zhao, Z, and Ai, A. (2023). Bayesian mixed-effect higher order hidden Markov models with applications to predictive healthcare using electronic health records. IISE Transactions (in print).
  6. Liao, Y.∗, Dong, N., and Xiang, Y. (2023). Bayesian Prognosis Analysis of Human Papillomavirus-Associated Head and Neck Cancer using Hierarchical Dirichlet Process Mixture Models. IISE Transactions(in print).
  7. Zhu, Z.∗, Xiang, Y., and Zhao, M. (2023). Data-driven remanufacturing planning under uncertainty. European Journal of Operational Research, 309(1), 102-116.
  8. Liao, Y.∗, Xiang, Y., Zheng, M., and Wang, J. (2023). DeepMiceTL: a deep transfer learning based prediction of mice cardiac conduction diseases using early electrocardiograms. Briefings in Bioinformatics, 24(3), bbad109.
  9. Lin, C., Xiao, H., Xiang, Y., and Peng, R. (2023). Optimizing dynamic performance of phased-mission systems with a common bus and warm standby elements. Reliability Engineering & System Safety, 240, 109598.
  10. Zhu, Z.∗, Xiang, Y., and Zeng, B. (2021). Multi-component maintenance optimization: A stochastic programming approach. INFORMS Journal on Computing, 33(3), 898-914
  11. Shi, Y.∗, Xiang, Y., Xiao, H., and Xing, L. (2021). Joint optimization of budget allocation and maintenance planning for deteriorating transportation infrastructure with multiple facilities. European Journal of Operational Research, 288(2), 382-393.
  12. Zhu, Z.∗ and Xiang, Y. (2021). Condition-based maintenance for multi-component systems: Modeling, structural properties, and algorithms. IISE Transactions, 53(1), 88-100. （Best Application Paper, IISE Transactions focus issue on Data Science, Quality and Reliability)
  13. Shi, Y.∗, Xiang, Y., Liao, Y.∗, Zhu, Z.∗, and Hong, Y. (2021). Optimal burn-in policies for multiple dependent degradation processes. IISE Transactions, 53(11), 1281-293. (featured in the October 2021 issue of the IISE’s Industrial and Systems Engineer magazine)
  14. Liao, Z.*, Xiang, Y., and Wang M. (2020). Health Assessment and Prognostics Based on Higher Order Hidden Semi-Markov Models. Naval Research Logistics, 68(2), 259-276.
  15. Lin, C., Xiao, H., Peng, R., and Xiang, Y. (2021). Optimal defense-attack strategies between m defenders and n attackers: A method based on cumulative prospect theory. Reliability Engineering and System Safety, 210, 107510.
  16. Andrukonis, A., Protopopova, A., Xiang, Y., Liao, Y.∗, and Hall, N. (2021). Behavioral correlates of urinary output in shelter cats. Applied Animal Behaviour Science, 241, 105397.
  17.  Xing, L., Zhao, G., Xiang, Y., and Liu, Q. (2021) A behavior-driven reliability modeling method for complex smart systems. To appear in Quality and Reliability Engineering International.
  18. Shi, Y.∗, Xiang, Y., Zhu, W., and Feng, Q. (2020). A condition-based predictive maintenance optimization for multi-component systems subject to a system reliability requirement. Reliability Engineering and System Safety, 202, 107042.
  19.  Shi, Y., Feng, Q., Shu, Y., and Xiang, Y. (2020). Multi-dimensional Levy processes with Levy copulas for multiple dependent degradation processes in lifetime analysis. Quality Engineering, 32(3), 434-448.
  20.  Wang, W., Fang, C., Liu, S., and Xiang, Y. (2021). Reliability analysis and optimization of multi-state sliding window system with sequential demands and time constraints. Reliability Engineering and System Safety, 208, 107449.
  21.  Xiao, H., Zhang, Y., Xiang, Y., and Peng, R. (2020). Optimal design of a linear sliding window system with consideration of performance sharing. Reliability Engineering and System Safety, 198, 106900.
  22.  Xing, L., Zhao, G., Wang, Y., and Xiang, Y. (2020). Reliability modeling of correlated competitions and dependent components with random failure propagation time. Quality and Reliability Engineering International, 36(3), 947-964.
  23.  Shi, Y.∗, Xiang, Y., and Li, M. (2019). Optimal maintenance policies for multi-Level preventive maintenance with complex effects. IISE Transactions, 51(9), 999-1011.
  24.  Zhu, Z.∗, Xiang, Y., Li, M., Zhu, W., and Schneider, K. (2019). Preventive maintenance subject to equipment unavailability. IEEE Transactions on Reliability, 68(3), 1009-1020.
  25.  Chen, S., Lu, L., Xiang, Y., Sagues, A., and Li, M. (2018). A data heterogeneity modeling and quantification approach for field pre-assessment of chloride-induced corrosion in aging infrastructures. Reliability Engineering and System Safety, 171, 123-135.
  26.  Alaswad, S., and Xiang, Y. (2017). A review on condition-based maintenance optimization models for stochastically deteriorating system. Reliability Engineering and System Safety, 157, 54-63. (top 3 most cited articles published since 2017 )
  27.  Zhu, Z.∗, Xiang, Y., Coit, D.W., and Feng, Q. (2017). Condition-based maintenance under performance-based contracting. Computers and Industrial Engineering, 111, 391-402.
  28.  Xiang, Y., Coit, D. W., and Zhu, Z.∗ (2016). A multi-objective joint burn-in and imperfect CBM model for degradation-based heterogeneous populations. Quality and Reliability Engineering International, 32(8), 2739-2750.
  29.  Shi, Y.∗, Xiang, Y., Jin, T., and Li, Y. (2016). Joint planning for spare parts inventory and preventive maintenance in a multi-echelon network. International Journal of Inventory Research, 3(3), pp.263-281.
  30.  Xiang, Y., Zhuang, J. (2016). Medical resource allocation serving victims in deteriorating health conditions in the aftermath of a disaster. Annals of Operations Research, 236(1),
    177- 196.
  31.  Chen N., Ye Z. S., Xiang, Y., and Zhang, L. (2015). Condition-based maintenance using the inverse Gaussian degradation model. European Journal of Operational Research, 243 (1),
    190- 199.
  32.  Xiang, Y., Coit, D. W., and Feng, Q. (2014). Accelerated burn-in and condition-based maintenance for n-subpopulations subject to stochastic degradation. IIE Transactions, 46(10), 1093-1106.
  33.  Xiang, Y., Cassady, C. R., Jin, T., and Zhang, C. (2014). Joint production and maintenance planning with deterioration and random yield. International Journal of Production Research, 52 (6), 1644-1657.
  34.  Xiang, Y., and Rossetti, M. D. (2014). The effect of backlog queue and load-building pro-cessing in a multi-echelon inventory network. Simulation Modeling and Theory Practice, 43,
    54- 66.
  35. Xiang, Y. (2013). Joint optimization of X¯ control chart and preventive maintenance policies: A discrete-time Markov chain approach. European Journal of Operational Research, 229(2),
    382- 390.
  36.  Xiang, Y., Coit, D. W., and Feng, Q. (2013). n-Subpopulations experiencing stochastic degradation: Reliability modeling, burn-in and preventive replacement optimization. IIE Transactions, 45 (4), 391-408. (top 3 most popular paper published in 2013, complimentary open-access awarded)
  37.  Xiang, Y., Cassady, C. R., and Pohl, E. A. (2012). Optimal maintenance policies for systems subject to a Markovian operating environment. Computers and Industrial Engineering, 62(1),
    190- 197.