Application of Failure Mode Effect and Criticality Analysis (FMECA) to a Computer Integrated Manufacturing (CIM) Conveyor Belt
Fault finding and failure predicting techniques in manufacturing and production systems often involve forecasting failures, their effects, and occurrences. The majority of these techniques predict failures that may appear during the regular system production time. However, they do not estimate the failure modes and they require extensive source code instrumentation. In this study, we suggest an approach for predicting failure occurrences and modes during system production time intervals at the University of Hail (UoH). The aim of this project is to implement failure mode effect and criticality analysis (FMECA) on computer integrated manufacturing (CIM) conveyors to determine the effect of various failures on the CIM conveyor belt by ranking and prioritizing each failure according to its risk priority number (RPN). We incorporated the results of FMECA in the development of formal specifications of fail-safe CIM conveyor belt systems. The results show that the highest RPN values are for motor over current failure (450), conveyor chase of vibration (400), belt run off at the head pulley (200), accumulated dirt (180), and Bowed belt (150). The study concludes that performing FMECA is highly effective in improving CIM conveyor belt reliability and safety in the mechanical engineering workshop at UoH.
R. K. Mobley, Maintenance Engineering Handbook, McGraw-Hill Professional, 2001
NASA, Apollo gray team lunar landing design final report, 2007
Reliability Analysis Center, Failure mode effects and criticality analysis (FMECA), Reliability Analysis Center, Rome, NY, 1993
MIL-STD-1929A, Procedure for performing a failure mode effects and criticality analysis (FMECA), Washington, DC, 1980
SAE International, J1739, Potential failure mode and effects analysis in design (Design FMEA), potential failure mode and effects analysis in manufacturing and assembly processes (Process FMEA), SAE International, 2009
U.S. Department of Defence, MIL-HDBK-217F, Reliability prediction of electronic equipment, 1991
Naval Surface Warfare Center, Handbook of reliability prediction procedures for mechanical equipment, Naval Surface Warfare Center, Carderock Division, W. Bethesda, Maryland, 2011
I. Y. Tumer, R. B. Stone, “Mapping Function to Failure Mode During Component Development”; Research in Engineering Design, Vol. 14, No. 1, pp. 25-33, 2003
N. S. Arunraj, J. Maiti, “Risk-based maintenance Techniques and applications”, Journal of Hazardous Materials, Vol. 142, No. 3, pp. 653-661, 2007
H Arabian-Hoseynabadi, H. Oraee, P. J. Tavner “Failure Modes and Effects Analysis (FMEA) for wind turbines”, International Journal of Electrical Power & Energy Systems, Vol. 32, No. 7, pp. 817-824, 2010
H. C. Liu, L. Liu, N. Liu, “Risk evaluation approaches in failure mode and effects analysis: A literature review”, Expert Systems with Applications, Vol. 40, No. 2, pp. 828-838, 2013
T. M. El-Dogdog, A. M. El-Assal, I. H. Abdel-Aziz, A. A. El-Betar, “Implementation of FMECA and Fishbone Techniques in Reliability Centered Maintenance Planning”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, No. 11, pp. 18801-18811, 2016
T. S. Parsana, M. T. Patel, “A Case Study: A Process FMEA Tool to Enhance Quality and Efficiency of Manufacturing Industry”, International Journal of Industrial Engineering and Management Science, Vol. 4, No. 3, pp. 145-152, 2014
MetricsAbstract Views: 548
PDF Downloads: 178
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
Most read articles by the same author(s)
- M. Elashmawy, A. A. A. A. Al-Rashed, L. Kolsi, I. Badawy, N. B. Ali, S. S. Ali, Heat Transfer and Fluid Flow in Naturally Ventilated Greenhouses , Engineering, Technology & Applied Science Research: Vol. 7 No. 4 (2017): August, 2017
- I. Elbadawi, M. Aichouni, N. A. Messaoudene, Developing an Innovative and Creative Hands-on Lean Six Sigma Manufacturing Experiments for Engineering Education , Engineering, Technology & Applied Science Research: Vol. 6 No. 6 (2016): December, 2016