Using DOE for Implementation of Six Sigma to Reduce Non-Coaxiality Defect in Connecting Rods

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This paper is intended to determine all significant factors affecting one of the most important characteristic of connecting rod that is coaxiality, in one of the main suppliers of this part in Middle East, in order to achieve the optimum combination and levels of these factors. By sampling the connecting rods produced under different levels of factors and combinations, and measurement of non-coaxiality, enough data is gathered. To determine meaningful impact of each intended factor and to specify all effective and ineffective factors, the authors have used DOE method. Achievement of best combination consists of affecting factors is defined through DMAIC cycle steps to reduce the non-coaxiality defect and to reach intended sigma values for the production process. According to the analysis of the results, better rate of non-coaxiality is obtained.

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1427-1430

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October 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chakravorty SS, Six Sigma programs: an implementation model, Int J Prod Econ, (2009), 119: 1–16.

Google Scholar

[2] Vijayaram TR, Sulaiman S, Hamouda AMS, Ahmad MHM, Foundry quality control aspects and prospects to reduce scrap rework and rejection in metal casting manufacturing industries, J Mater Process Technol, (2006), 178: 39–43.

DOI: 10.1016/j.jmatprotec.2005.09.027

Google Scholar

[3] Buch K, Tolentino, A Employee perception of the rewards associated with Six Sigma, J Organ Chang Manag, (2006), 19 (3): 356–364.

DOI: 10.1108/09534810610668355

Google Scholar

[4] SchonK, Ways of implementing Six Sigma in a non-American culture, Int J Six Sigma Compet Advantage, (2006), 2 (4): 404–428.

DOI: 10.1504/ijssca.2006.011568

Google Scholar

[5] Gowen CR, How to implement Six Sigma for maximum benefit, Six Sigma Forum Mag, (2002), 1 (2): 27–31.

Google Scholar

[6] Henderson KM, Evans JR, Successful implementation of Six Sigma: benchmarking General Electric Company, Benchmarking: An Int J, (2000), 7 (4): 260–281.

DOI: 10.1108/14635770010378909

Google Scholar

[7] Sokovic M, Pavletic D, Fakin S, Application of Six Sigma methodology for process design quality improvement, 13th International Scientific Conference on Achievements in Manufacturing and Materials Engineering, Gliwice, Poland, (2005) p.611–614.

DOI: 10.1016/j.jmatprotec.2005.02.231

Google Scholar

[8] Pavletic D, Fakin S, Sokovic M, Six Sigma in process design, J Mech Eng, (2004) 50 (3): 157–167.

Google Scholar

[9] Park, Sung H., Six Sigma for quality and productivity promotion, Asian Productivity Organization, (2003).

Google Scholar

[10] Goldstein MD, Six Sigma program, Success Factors Six Sigma Forum Mag, (2001), 1 (1): 36–45.

Google Scholar

[11] Arthur J, Seduce them with success, Qual Prog, (2005), 38 (9): 35–40.

Google Scholar