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Failure Mode and Effect Analysis: A Tool to Enhance Quality in Engineering Education
Veeranna.D.Kenchakkanavar, Anand.K.Joshi
Pages - 52 - 59     |    Revised - 25-02-2010     |    Published - 26-03-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
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KEYWORDS
: FMEA, Occurrence, Detection, Severity, Risk Priority Number, Quality
ABSTRACT
It is very important to change or make improvement in engineering education, How long an institute or university can survive? If it is just passing the students for B.E certificates and not able to improve students quality. Improving and sustaining quality in technical education is a growing concern among stakeholders of the system. The quality journey which focuses on continuous improvement of processes, products and services through well planned and efficient management of technical education. In this paper an attempt has been made to assess the reasons behind the failures in some subjects of the mechanical engineering course. Failure Mode and Effect Analysis (FMEA) is a tool used to detect the reasons and finally the recommendations were made to solve the problems occurred in the course.
CITED BY (7)  
1 Gaval, V. R., & Iyer, P. B. Application of DFMEA in Metal to Plastic Replacements in Automotive Industry.
2 Mirghafouri, S. H., Asadian Ardakani, F., & Azizi, F. (2014). Developing a Method for Risk Analysis in Tile and Ceramic Industry Using Failure Mode and Effects Analysis by Data Envelopment Analysis. Iranian Journal of Management Studies, 7(2), 343-363.
3 Parsana, T. S., & Patel, M. T. (2014). A Case Study: A Process FMEA Tool to Enhance Quality and Efficiency of Manufacturing Industry. Bonfring International Journal of Industrial Engineering and Management Science, 4(3), 145-152.
4 Pan, J. N., & Chen, S. C. (2013). Correlated Risk Assessment and Its Managerial Applications. In Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management (pp. S1_55-74). ToKnowPress.
5 Pan, J. N., & Chen, S. C. (2012). A new approach for assessing the correlated risk. Industrial Management & Data Systems, 112(9), 1348-1365.
6 N. Saleeb and G. Dafoulas, “Analogy between Student Perception of Educational Space Dimensions and Size Perspective in 3D Virtual Worlds versus Physical World”, International Journal of Engineering (IJE), 4(3), pp. 210 – 218, July. 2010.
7 Saleeb, N., & Dafoulas, G. (2010). Analogy between student perception of educational space dimensions and size perspective in 3D virtual worlds versus physical world. International Journal of Engineering (IJE), 4(3), 210-218.
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1 Dale H Bester field, “Total Quality Management”.5th edition Pearson Edition Education.Inc, PP377-393.
2 L.Suganthi, Anand A Samuel, “Total Quality Management”, Prentice Hall of India Pvt. Ltd, New Delhi,PP 193-197
Assistant Professor Veeranna.D.Kenchakkanavar
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Dr. Anand.K.Joshi
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