Risk Evaluation Approach in Failure Mode and Effect Analysis of Automotive Headlamp Assembly

Article Preview

Abstract:

Headlamp assembly entailed a complex assembly process and error in assembled can result in technical problem and higher reject rate at the end of the assembly process. A study has been conducted, in one of the automotive headlamp assembly in Malaysia, where there are numerous defect detected during the assembly process, such as metal spacing missing, wrong model housing, wrong sticker affix, wrong orientation with a total of 80% defects detected. Currently the headlamps are assembled with no dimensional control, results in high physical nonconformity product. The main objective of this project is to identify potential failure in headlamp assembly process. The approach used was risk assessment tool which is Process Failure Mode and Effect. This work also developed the corrective action plan for accurate ranking of Failure Modes by Risk Priority Number-based method and implement it to the process assembly. The result showed that there was increased of 5% in preventive action and 4% increment of the detection action

You might also be interested in these eBooks

Info:

Periodical:

Pages:

72-76

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] B. Wordenweber, J. Wallascheck, P. Boyce, & D. Hoffman, Automotive Lighting and Human Vision, Springer Verlag, Berlin, Heidelberg, (2007).

Google Scholar

[2] K.J. Arrow, & H. Raynaud, Social Choice and Multi-criterion Decision Making, MIT Press, Cambridge, MA, (1986).

Google Scholar

[3] J.R. Bradley, & H. Guerrero, Decision Science , (2011) pp.743-771.

Google Scholar

[4] Department of Defense, Military Standard-Procedure for performing a failure mode, effects criticality analysis, Washington, DC: Department of Defense Joint Surg. 60-A(2): 217-20, (1980).

Google Scholar

[5] AIAG, Potential Failure Mode and Effect Analysis (FMEA) (4th ed. ), Southfield, MI: The Automotive Devision of the American Society for Quality (ASQC) and the Automotive Industry Action Group (AIAG), (2008).

DOI: 10.1007/springerreference_6401

Google Scholar

[6] H. Pentti, & H. Atte, Failure mode and effect analysis of software based automation systems, Finland: VTT Industrial System, STUK, (2002).

Google Scholar

[7] N. Sellapan, & R. Sivasubramanian, The ICFAI Journal of Operations Management, Vol. 7(1), (2008) pp.43-52.

Google Scholar

[8] M. Ben Daya, & A. Raouf, International Journal of Quality & Reliability Management, Vol. 13(1), (1996) pp.43-47.

Google Scholar

[9] M. Braglia, M. Frosolini, & R. Montanari, Quality and Reliability Engineering International, Vol. 19(5), (2003) pp.425-443.

Google Scholar

[10] C. Chang, C.C., W., & Y. Lee, Kybernetes, Vol. 28(9), (1999), pp.1072-1080.

Google Scholar

[11] S. Devadasan, R. Samson, & R. Sankaran, The International Journal of Quality & Reliability Management, Vol. 20(5), (2003) pp.551-568.

Google Scholar

[12] F. Franceschini, & M. Galetto, International Journal of Production Research, Vol. 39(13), (2001), pp.2991-3002.

Google Scholar

[13] W. Gilchrist, International Journal of Quality& Reliability Management, Vol. 10(5), (1993) pp.16-23.

Google Scholar

[14] K. Jenab, & B.S. Dhillon, Quality and Safety Engineering, Vol. 12(4), (2005) pp.291-307.

Google Scholar

[15] A. Pillay, & J. Wang, Reliability Engineering and System Safety, Vol. 79(1), (2003) pp.69-85.

Google Scholar