How to cite this paper
Cheshmberah, M., Naderizadeh, A., Shafaghat, A & Nokabadi, M. (2020). An integrated process model for root cause failure analysis based on reality charting, FMEA and DEMATEL.International Journal of Data and Network Science, 4(2), 225-236.
Refrences
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Dadang Gumbira Imansyah, A., Meilinda, N., Agus, H., & Tarsisius, K. (2017). Trouble Shooting Tur-bine Blade Damage In 55 Mw Geothermal Power Plant. Journal of Multidisciplinary Engineering Science Studies (JMESS), 3(2).
Gano, D. (2011). RealityCharting, Seven Steps to Effective Problem-Solving and Strategies for Personal Success. Washington: Apollonian Publications.
Hekmatpanah, M., Shahin, A., & Ravichandran, N. (2011). The application of FMEA in the oil industry in Iran: The case of four litre oil canning process of Sepahan Oil Company. African Journal of Business Management, 5(8), 3019–27.
Hussin, H., Ghazali, Z., Suratanin, N., Muhamad, M., & Mokhtar, A. (2016). An investigation into root cause failure analysis (RCFA) practices in oil and gas industry. ARPN Journal of Engineering and Applied Sciences.
IAEA. (2015). Root Cause Analysis Following an Event at a Nuclear Installation: Reference Manual. Vienna: International atomic energy agency.
Ghoushchi, S. J., Yousefi, S., & Khazaeili, M. (2019). An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures. Applied Soft Computing, 81, 105505.
Januardi, H., Pramana, A., Prasdiamaja, R., Matradji, M., Cordova, H., Gunawan, K., & Biyanto, T. (2018). Counter motor compressor innovation to increase reliability of compressor in Muara Tawar power plant. International Journal of Engineering Sciences & Research Technology, 7(9).
Khan, M. M., Mokhtar, A. A., & Hussin, H. (2015). A Neural Based Fuzzy Logic Model to Determine Corrosion Rate for Carbon Steel subject to Corrosion under Insulation. In Applied Mechanics and Materials (Vol. 789, pp. 526-530). Trans Tech Publications.
Liu, H., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40, 828–838.
Lokrantz, A., Gustavsson, E., & Jirstrand, M. (2018). Root cause analysis of failures and quality deviations in manufacturing using machine learning. 51st CIRP Conference on Manufacturing Systems. Procedia CIRP.
Mahto, D., & Kumar, A. (2008). Application of root cause analysis in improvement of product quality and productivity. Journal of Industrial Engineering and Management, 1(2), 16–53.
Mannan, S. (2013). Lees' Process Safety Essentials: Hazard Identification, Assessment and Control. Butterworth-Heinemann.
Meister, M., Beßle, J., Cviko, A., Böing, T., & Mett, J. (2019). Manufacturing Analytics for problem-solving processes in production. 28th CIRP Design Conference,. Procedia CIRP.
Mobley, R. (2002). An introduction to predictive maintenance. Butterworth-Heinemann.
Nugroho, A., Widihastuti, I., & Ary, A. (2017). Root cause failure analysis of stator winding insulation failure on 6.2 MW hydropower generator. IOP Conference Series: Materials Science and Engineering.
Peeters, J. F. W., Basten, R. J., & Tinga, T. (2018). Improving failure analysis efficiency by combin-ing FTA and FMEA in a recursive manner. Reliability Engineering & System Safety, 172, 36-44.
Penrose, H., & Frost, N. (2015). Aging electric machines. IEEE-Electrical Insulation Conference. Seattle.
Shrouti, C., Franciosa, P., & Ceglarek, D. (2013). Root cause analysis of product service failure using computer experimentation technique. 2nd International Through-life Engineering Services Conference. Procedia CIRP .
Stamatis, D. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution. New York: American Society for Quality (ASQ).
Tahan, M., Muhammad, M., & Abdul Karim, Z. (2014). A framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring. MATEC Web of Conferences.
Tseng, M. L. (2009). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Systems with Applications, 36, 7738-7748.
US-DOE. (2010). Root cause analysis guidance document (Standard). Washington: US Department of Energy.
Wu, W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35, 828-835.
Yang, T., & Chen, C. (2009). An incentive pay system for project management based on responsibility assignment matrix and fuzzy linguistic variables. Expert Systems with Applications, 36 (12585–12591).
York, D., Jin, K., Song, Q., & Li, H. (2014). Practical root cause analysis using cause mapping. Proceedings of the International MultiConference of Engineers and Computer Scientists. Hong Kong.
Zavagnin, R. (2008). An overview of a Root Cause Failure Analysis (RCFA) process. IPEIA Conference. Canada.
Zhao, L., Xing, Q., Wang, J., Li, S., & Zheng, S. (2019). Failure and root cause analysis of vehicle drive shaft. Engineering Failure Analysis, 99 (225–234).
Dadang Gumbira Imansyah, A., Meilinda, N., Agus, H., & Tarsisius, K. (2017). Trouble Shooting Tur-bine Blade Damage In 55 Mw Geothermal Power Plant. Journal of Multidisciplinary Engineering Science Studies (JMESS), 3(2).
Gano, D. (2011). RealityCharting, Seven Steps to Effective Problem-Solving and Strategies for Personal Success. Washington: Apollonian Publications.
Hekmatpanah, M., Shahin, A., & Ravichandran, N. (2011). The application of FMEA in the oil industry in Iran: The case of four litre oil canning process of Sepahan Oil Company. African Journal of Business Management, 5(8), 3019–27.
Hussin, H., Ghazali, Z., Suratanin, N., Muhamad, M., & Mokhtar, A. (2016). An investigation into root cause failure analysis (RCFA) practices in oil and gas industry. ARPN Journal of Engineering and Applied Sciences.
IAEA. (2015). Root Cause Analysis Following an Event at a Nuclear Installation: Reference Manual. Vienna: International atomic energy agency.
Ghoushchi, S. J., Yousefi, S., & Khazaeili, M. (2019). An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures. Applied Soft Computing, 81, 105505.
Januardi, H., Pramana, A., Prasdiamaja, R., Matradji, M., Cordova, H., Gunawan, K., & Biyanto, T. (2018). Counter motor compressor innovation to increase reliability of compressor in Muara Tawar power plant. International Journal of Engineering Sciences & Research Technology, 7(9).
Khan, M. M., Mokhtar, A. A., & Hussin, H. (2015). A Neural Based Fuzzy Logic Model to Determine Corrosion Rate for Carbon Steel subject to Corrosion under Insulation. In Applied Mechanics and Materials (Vol. 789, pp. 526-530). Trans Tech Publications.
Liu, H., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40, 828–838.
Lokrantz, A., Gustavsson, E., & Jirstrand, M. (2018). Root cause analysis of failures and quality deviations in manufacturing using machine learning. 51st CIRP Conference on Manufacturing Systems. Procedia CIRP.
Mahto, D., & Kumar, A. (2008). Application of root cause analysis in improvement of product quality and productivity. Journal of Industrial Engineering and Management, 1(2), 16–53.
Mannan, S. (2013). Lees' Process Safety Essentials: Hazard Identification, Assessment and Control. Butterworth-Heinemann.
Meister, M., Beßle, J., Cviko, A., Böing, T., & Mett, J. (2019). Manufacturing Analytics for problem-solving processes in production. 28th CIRP Design Conference,. Procedia CIRP.
Mobley, R. (2002). An introduction to predictive maintenance. Butterworth-Heinemann.
Nugroho, A., Widihastuti, I., & Ary, A. (2017). Root cause failure analysis of stator winding insulation failure on 6.2 MW hydropower generator. IOP Conference Series: Materials Science and Engineering.
Peeters, J. F. W., Basten, R. J., & Tinga, T. (2018). Improving failure analysis efficiency by combin-ing FTA and FMEA in a recursive manner. Reliability Engineering & System Safety, 172, 36-44.
Penrose, H., & Frost, N. (2015). Aging electric machines. IEEE-Electrical Insulation Conference. Seattle.
Shrouti, C., Franciosa, P., & Ceglarek, D. (2013). Root cause analysis of product service failure using computer experimentation technique. 2nd International Through-life Engineering Services Conference. Procedia CIRP .
Stamatis, D. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution. New York: American Society for Quality (ASQ).
Tahan, M., Muhammad, M., & Abdul Karim, Z. (2014). A framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring. MATEC Web of Conferences.
Tseng, M. L. (2009). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Systems with Applications, 36, 7738-7748.
US-DOE. (2010). Root cause analysis guidance document (Standard). Washington: US Department of Energy.
Wu, W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35, 828-835.
Yang, T., & Chen, C. (2009). An incentive pay system for project management based on responsibility assignment matrix and fuzzy linguistic variables. Expert Systems with Applications, 36 (12585–12591).
York, D., Jin, K., Song, Q., & Li, H. (2014). Practical root cause analysis using cause mapping. Proceedings of the International MultiConference of Engineers and Computer Scientists. Hong Kong.
Zavagnin, R. (2008). An overview of a Root Cause Failure Analysis (RCFA) process. IPEIA Conference. Canada.
Zhao, L., Xing, Q., Wang, J., Li, S., & Zheng, S. (2019). Failure and root cause analysis of vehicle drive shaft. Engineering Failure Analysis, 99 (225–234).