1. Aissani, N., Beldjilali, B., and Trentesaux, D. (2009). Dynamic Scheduling of Maintenance Task in the Petroleum Industry: A reinforcement approach. Engineering Applications of Artificial Intelligence, vol. 22, pp. 1089-1103.
2. Ballhaus, W., Pagella, A., and Vogel, C. (2009). A change of pace for the semiconductor industry? Technical report, German Technology, Media and Telecommunications, Nov. 2009.
3. Ben Said, A., Shahzad, M.K., Zamaï, E., Hubac, S., and Tollenaere, M. (2014). A Bayesian network based approach to improve the effectiveness of maintenance actions in Semiconductor Industry. In Proceedings of 2nd European Conference of the PHM Society.
4. Run-to-run control and state estimation in high-mix semiconductor manufacturing;Bode;Annual Reviews in Control,2007
5. Towards Bayesian network methodology for predicting the equipment health factor of complex semiconductor systems;Bouaziz;International Journal of Production Research,2013