Abdi, A. and Taghipour, S. (2019). Sustainable asset management: A repair-replacement decision model considering environmental impacts, maintenance quality, and risk. Computers & Industrial Engineering, 136, 117-134.
Barlow R. E., Toland R. H. and Freeman T. A. (1988). Bayesian analysis of the stress rupture life of Kevlar/ epoxy spherical pressure vessels. Societa Italiana di Fisica; Bologna; 203-236.
Bris, R. (2000). Bayes approach in RDT using accelerated and long-term-life data. Reliability Engineering System Safety, 67(1), 9-16.
Chen, T. M. and Popova, E (2000). Bayesian maintenance policies during a warranty period. Communications in Statistics-Stochastic Models, 16(1), 121-142.
Erto, P. and Giorgio M. (2002). Assessing high reliability via Bayesian approach and accelerated tests. Journal of Reliability engineering and System Safety, 76, 301-310.
Fallahnezhad, M. S., Niaki, S. T. A., and Eshragh-Jahromi, A. (2007). A One-Stage Two-Machines Replacement Strategy Based on the Bayesian Inference Method. Journal of Industrial and Systems Engineering, 1(3), 235-250.
Gilks, W. R., Richardson, S. and Spiegel halter D. J. (1996). Markov Chain Monte Carlo in Practice. London: Chapman & Hall.
Grosfeld-Nir, A. (2007). Control limits for two-state partially observable Markov decision processes. European Journal of Operational Research, 182, 300-304.
Hamada, M., Martz, H. F., Reese, C. S., Graves, T., Johnson, V. and Wilson A. G. (2004). A fully Bayesian approach for combining multilevel failure information in fault tree quantification and optimal follow-on resource allocation. Reliability Engineering and System Safety, 86, 297-305.
Hou, Y., Sethi, S. P., Zhang, H. and Zhang, Q. (2006). Asymptotically optimal production policies in dynamic stochastic jobshops with limited buffers. Journal of Mathematical Analysis and Applications, 317, 398-428.
Hritonenkoa, N. and Yatsenkob, Y. (2007). Optimal machine replacement without paradoxes: A continuous analysis. Operations Research Letters, 35, 245 -250.
Hu, J., Sun, Q. and Ye, Z. S. (2021). Replacement and repair optimization for production systems under random production waits. IEEE Transactions on Reliability, 71(4), 1488-1500.
Jafarian-Namin, S., Fallahnezhad, M. S., Tavakkoli-Moghaddam, R., Salmasnia, A. and Fatemi Ghomi, S. M. T. (2021). An integrated quality, maintenance and production model based on the delayed monitoring under the ARMA control chart. Journal of Statistical Computation and Simulation, 91(13), 2645-2669.
Liao, H. Y., Cade, W. and Behdad, S. (2021). Markov chain optimization of repair and replacement decisions of medical equipment. Resources, Conservation and Recycling, 171, 105609.
Larbi Rebaiaia, M. and Aït-Kadi, D. (2021). Maintenance policies with minimal repair and replacement on failures: analysis and comparison. International Journal of Production Research, 59(23), 6995-7017.
Mastran, D. V. (1976). Incorporating component and system test data into the same assessment: a Bayesian approach. Operation Research, 24, 491-499.
Min, S. (2021). Modern Dynamic Programming Approaches to Sequential Decision Making. Columbia University.
Megoze Pongha, P., Kenné, J. P., De Jesus Garcia, E. and Hof, L. A. (2022). Optimal joint production, maintenance and product quality control policies for a continuously deteriorating manufacturing system. International Journal of Modelling and Simulation, 1-18.
Megoze Pongha, P., Kibouka, G. R., Kenné, J. P. and Hof, L. A. (2022). Production, maintenance and quality inspection planning of a hybrid manufacturing/remanufacturing system under production rate-dependent deterioration. The International Journal of Advanced Manufacturing Technology, 1-26.
Nair, V. N., Tang, B., and Xu, L. (2001). Bayesian inference for some mixture problems in quality and reliability. Journal of Quality Technology, 33, 16-28.
Niaki, S. T. and Fallah Nezhad, M. S. (2007). A decision-making framework in production processes using bayesian inference and stochastic dynamic programming. Journal of Applied science, 7(23), 3618-3627.
Pathak, K., Single, A. K. and Zimmer, W. J. (1996). A Bayes estimation of hazard and acceleration in accelerated testing. IEEE Transaction Reliability, 45(3), 491-498.
Presman, E. L., Sethi, S. P., Zhang, H. and Bisi, A. (2001). Average cost optimal policy for a stochastic Two-Machine Flowshop with limited Work–in-Process. Journal of Nonlinear Analysis, 47, 5671-5678.
Sethi, S. P., Suo, W. and Zhang Q. (1994). Hierarchical production planning in a dynamic stochastic manufacturing systems: Asymptotic optimality and error bounds. Journal of Mathematical Analysis and Applications, 181, 285-319.
Sethi, S. P., Suo, W., Taksar, M. I. and Zhang, Q. (1997). Optimal production planning in a stochastic manufacturing system with long-run average cost. Journal of Optimization Theory and Applications, 92, 161-188.
Sethi, P. S., Zhang, H. and Zhang, Q. (2000). Hierarchical production control in a stochastic N-machine flowshop with long-run average cos. Journal of Mathematical Analysis and Applications, 251, 285-309.
Sethi, S. P., Suo, W., Taksar, M. I. and Zhang, Q. (2000a). Hierarchical production control in a stochastic N-machine flowshop with limited buffers. Journal of Mathematical Analysis and Applications, 246, 28-57.
Valdez-Florez, C. and Feldman, R. (1989). A survey of preventive maintenance models for stochastically deteriorating single unit systems. Naval Research Logistics, 419–446.
Wang, F. F. (2022). Joint replacement and production control for a queueing system with different failures. Journal of Industrial and Production Engineering, 39(3), 196-209.
Wilson, J. G. and Popova, E. (1998). Bayesian approaches to maintenance intervention. Proceedings of the section on Bayesian Science of the American Statistical Association, 278-284.
Yousefi, N., Tsianikas, S and Coit, D. W. (2022). Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning. Quality Engineering, 34(1), 16-35.
Zimmer, W. J. and Deely, J. (1996). A Bayes ranking of survival distribution using accelerated or correlated data. IEEE Transaction Reliability, 45(3), 499-504.
)