References
- Xu, K., Tang, L. C., Xie, M., Ho, S. L. and Zhu, M. L., 2002, Fuzzy Assessment of FMEA for Engine Systems, Reliability Engineering & System Safety, 75(1), pp. 17-29. https://doi.org/10.1016/S0951-8320(01)00101-6
- Cesar, A., Guimaraes, F., Marcelo, C. and Lapa, F., 2004, Fuzzy FMEA Applied to PWR Chemical and Volume Control System, Progress in Nuclear Energy, 44(3), pp. 191-213. https://doi.org/10.1016/S0149-1970(04)90010-8
- Hu, A. H., Hsu, C. W., Kuo, T. C. and Wu, W. C., 2009, Risk Evaluation of Green Components to Hazardous Substance Using FMEA and FAHP, Expert Systems with Applications, 36(3), pp. 7142-7147. https://doi.org/10.1016/j.eswa.2008.08.031
- Thomas, V., Neckel, W. and Wagner, S., 1999, Information Technology and Product Lifecycle management, Proceedings of IEEE International Symposium on Electronics and Environment, pp. 54-57.
- McFarlane, D. et al., 2003, Auto ID Systems and Intelligent Manufacturing Control, Engineering Applications and Artificial Intelligence, 16, pp. 365-376. https://doi.org/10.1016/S0952-1976(03)00077-0
- Parlikad, A. K. et al., 2003, The Role of Product Identity in End-of-life Decision Making, Cambridge: Auto-ID Center, Institute for Manufacturing, White Paper.
- Kiritsis, D., Bufardi, A. and Xirouchakis, P., 2003, Research Issues on Product Lifecycle Management and information tracking using smart embedded systems, Advanced Engineering Informatics, 17, pp. 189-202. https://doi.org/10.1016/j.aei.2004.09.005
- PROMISE Project Consortium, 2004, PROMISEIntegrated Project: Annex I-Description of Work, Technical Report DoW 1.0.
- Jun, H. B., 2010, A Study on the Concept of Product Lifecycle Management and Its Applications for Each Lifecycle Phase, Entrue Journal of Information Technology, 9(1), pp. 157-167.
- Lee, J., et al., 2006, Intelligent Prognostics Tools and e-maintenance, Computers in Industry, 57(6), pp. 476-489. https://doi.org/10.1016/j.compind.2006.02.014
- Wilson, R. M., 2006, Design for Maintenance, The 9th Institution of Engineering and Technology Professional Development Course on Electric Traction Systems, Manchester, UK, pp. 385-407.
- Swanson, D. C., et al., 2000, Prognostic Modelling of Crack Growth in a Tensioned Steel Band, Mechanical Systems and Signal Processing, 14(5), pp. 789-803. https://doi.org/10.1006/mssp.2000.1324
- Djurdjanovic, D., et al., 2003, Watchdog Agent - An Infotronics-based Prognostics Approach for Product Performance Degradation Assessment and Prediction, Advanced Engineering Informatics, 17(3-4), pp. 109-125. https://doi.org/10.1016/j.aei.2004.07.005
- Jayaram, J. S. R. and Girish, T., 2005, Reliability Prediction Through Degradation Data Modeling Using a Quasi-likelihood Approach, Proceedings of Annual Reliability and Maintainability Symposium, pp. 193-199.
- Iung, B., et al., 2008, Degradation State Modelbased Prognosis for Proactively Maintaining Product Performance, CIRP Annals - Manufacturing Technology, 57(1), pp. 49-52. https://doi.org/10.1016/j.cirp.2008.03.026
- Stamatis, D. H., 2003, Failure Mode Effect Analysis: FMEA from Theory to Execution, American Society for Quality Press
- Cattaneo, Cedric, 2006, Development of a New Approach for Product Design Improvement, Considering Middle-of-life (MOL) Data, Master thesis, Dept. of Mechanical Engineering, EPFL, Switzerland.