Failure Analysis in Development & Manufacture for Customer

Darina Juhaszova

Abstract

Purpose of the article is to present partial results of research solutions in the doctoral thesis Risk Management of customer driven projects. Background is the data from the organization Johnson Controls Inc., s.r.o. – OZ Trencin, presented as a case study. The overall aim is to identify and reduce project risks which are considered as decisive steps in managing successful projects. The principle is based on mapping current literature on risk management as many of problems that currently exist with respect to various projects such as delay, framework changes and even cancellation or revocation of the project may be due to inefficient risk management. The solution is the FMEA method. In order to use this type of risk analysis, the values of severity, occurrence and detection are standard values of FMEA slightly modified according to the guidelines of the organization. The result is presented as a case study in the final section of the article.

References

British Standard Institution, 2009. BS EN ISO 9004:2009 Managing for the sustained success of an organization. A quality management approach. London: BSI.

British Standard Institution, 2010. BS ISO 31000:2009 Risk management. Principles and guidelines. London: BSI.

Carbone, T. A., Tippett, D. D., 2004. Project risk management using the project risk FMEA. Engineering Management Journal, [online] Available at: http://fmeainfocentre.com/updates/may2011/Project%20Risk%20Management%20Using%20the%20Project%20Risk%20FMEA.pdf [Accessed 14 April 2013].

Česká spole?nost pro jakost, 1997. VDA 4.2 Zabezpe?ování jakosti před sériovou výrobou: systémová FMEA. Praha: CSJ.

Estorilio, C., Posso, R. K., 2010. The reduction of irregularities in the use of “process FMEA”. International Journal of Quality & Reliability Management, [e-journal] 27. Available through: Emerald Group Publishing website http://www.emeraldinsight.com/search.htm?st1=FMEA&ct=all&ec=1&bf=1 [Accessed 15 December 2012].

Ford Motor Company, 2004. Failure Mode and Effects Analysis, FMEA Handbook (with Robustness Linkages), FMEA Handbook Version 4.1, Dearborn, MI.

Lengyel, L., Zgodavova, K., Bober, P., 2012. Modeling and Simulation of Relocation of a Production in SIMPRO-Q Web Based Educational Environment. International Journal of Advanced Corporate Learning, [e-journal] 5(1), pp. 26-31. Available through: International Journal of Advanced Corporate Learning, website http://online-journals.org/i-jac/article/view/1878 [Accessed 21 April 2013].

Narayanagounder, S., Gurusami, K., 2009. A new approach for prioritization of failure modes in design FMEA using Anova. World Academy of Science, Engineering and Technology, International Science Index 25, 3(1), pp. 485 - 493. Available at: http://www.waset.org/journals/waset/v25/v25-96.pdf[Accessed 14 April 2013].

Pentti, H., Atte, H., 2002. Failure Mode and Effect Analysis of Software – based Automation Systems. [online] Available at: http://www.stuk.fi/julkaisut/tr/stuk-yto-tr190.pdf [Accessed 14 April 2013].

Pira, R., 2002. Niektoré poznatky z aplikácie metódy FMEA v automobilovej výrobe. Q-magazín, Září 2002 [pdf]. Available at: http://katedry.fmmi.vsb.cz/639/qmag/mj29-cz.htm [Accessed 14 April 2013].

Plato AG, 2013. Scio FMEA (5.1). [computer program] Plato AG. Available at: http://www.plato.de/home-en.html [Accessed 07 April 2013]

Quality-One International, 2011. Quality & Reliability Product and Process Development, FMEA. [online] Available at: http://quality-one.com/fmea/ [Accessed 14 April 2013].

Reid, R. D., 2005. “FMEA—Something Old, Something New”, Quality Progress, May, 2005, p. 90.

Segismundo, A., Cauchick Miguel, P.A., 2008. Risk management in e development of new products. A review and classification of the literature. Product: Management & Development, [online] Available at: http://pmd.hostcentral.com.br/revistas/vol_06/nr_1/v6n1a06.pdf [Accessed 21 April 2013].

Shirouyehzad, H., Dabestani, R., Badakhshian, M., 2011. The FMEA Approach to Identification of Critical Failure Factors in ERP Implementation. [pdf] Canadian Center of Science and Education. Available at: http://www.ccsenet.org/journal/index.php/ibr/article/view/9439/7842 [Accessed 15 December 2013].

Tosenovský J., Tosenovsky, F., 2012. Possibilities of Production Process Financial Assessment. Proceedings of the Conference Financial management of firms and financial institutions, Ostrava, November 9. – 10., 2013.

Wirth, R., B. Bernd, Kramer, A., Peter, G., 1996. Knowledge-based Support of System Analysis for the Analysis of Failure Modes and Effects. Journal of Artificial Intelligent, 9(3), pp. 219-229.

Zgodavová, K., 1999. FMEA procesov riadenia kvality. Kvalita Inovácia Prosperita, [online] Available at: http://qip-journal.eu/files/1999/1-2/zgodavova_1-2-99.htm [Accessed 21 April 2013].

Zgodavová, K., Linczenyi, A., Novaková, R. Slimak, I., 2002. Profesionál kvality / Quality for Professionals. Košice: Technical University of Košice.

Zgodavová, K., Majerik, M., 2009. Mechatronic product proportionality and inter-changeability management: mechanical components. Annals of DAAAM & Proceedings, [e-journal]. Abstract only. Available through: EBSCO website http://connection.ebscohost.com/c/articles/55674590/mechatronic-product-interchangeability-management-electronic-components [Accessed 21 April 2013].

Zheng, L. Y., Chin, S. K., Wei, L., 2002. Knowledge-enriched Process FMEA Model For Process Planning. Asian Journal on Quality, [e-journal] 3(1). Available through: Emerald Group Publishing website http://www.emeraldinsight.com/search.htm?st1=FMEA&ct=all&ec=1&bf=1 [Accessed 15 December 2012].

Authors

Darina Juhaszova
juhaszova.darina@gmail.com (Primary Contact)
Juhaszova, D. (2013). Failure Analysis in Development & Manufacture for Customer. Quality Innovation Prosperity, 17(2), 89–102. https://doi.org/10.12776/qip.v17i2.203
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