Six Sigma Methodologies for Increasing the First Pass Rate of Engines in Manufacturing

P Pathmanaban, B Naresh, S Shankar Ganesh, B Deepark, R Nobel Narayanan

Abstract


The purpose of this paper is to show the use of the Six Sigma methodology in improving the first pass rate of an ALH4CT engines during manufacturing. The paper follows case study, design and manufacturing approach. The case study was performed in a leading automotive based company in India. The application of the Six Sigma methodology resulted in a reduction of tolerance-related problems and improved the first pass yield from 95 to over 99 percent. A number of tools and techniques in the Six Sigma tool box have been utilized for data analysis and drawing valid and sound conclusions. Using Pareto analysis, the primary causes for each of the defects were analyzed. As per the analysis, it is absorbed that the loss of power due to wrong flywheel marking was the major
cause for engine rejection. The fixture of the rotary table has been modified by placing a sleeve in the dwell pin locator. This sleeve used to reduce the play between the flywheel and the table. This in turn would correct the flywheel marking, thereby increasing the pass of percentage. The results of the case study have provided greater stimulus within the production facilities for wider application of the methodology as a powerful problem solving methodology.

Keywords: Six Sigma, Business Process Improvement, Automotive Industry, Change Management, Data Analytics

How to cite this article:
P Pathmanaban, B Naresh, Ganesh SS et al. Six Sigma Methodologies for Increasing the First Pass Rate of Engines in Manufacturing. J Adv Res Qual Control Mgmt 2019; 4(1): 24-30.


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References


Habidin NF, Salleh MI, Md Latip MD et al. Lean six sigma performance improvement tool for automotive suppliers. Journal of Industrial and Production Engineering 2016; 33(4): 1-21.

Gijo EV, Jiju A, Kumar M et al. An application of Six Sigma methodology for improving the first pass yield of a grinding process. Journal of Manufacturing Technology Management 2014; 25(1): 125-135.

Montgomery DC, Woodall WH. An overview of six sigma. International Statistical Review 2008; 76(3):

-346.

Kumaravadivel A, Natarajan U. Application of six-sigma DMAIC methodology to sand-casting process with

response surface methodology. The International Journal of Advanced Manufacturing Technology 2013;

(5&8): 1403-1420.

Swarnakar V, Vinodh S, jiju A. Deploying Lean Six Sigma framework in an automotive component manufacturing organization. International Journal of Lean Six Sigma 2016; 7(3): 267-293.

Srinivasan K, Muthu S, Devadasan SR et al. Enhancement of sigma level in the manufacturing of furnace nozzle through DMAIC approach of Six Sigma: a case study. Production Planning & Control 2016; 27(10): 1-13.

Pugna A, Negrea R, Miclea S et al. Using Six Sigma Methodology to Improve the Assembly Process in an

Automotive. Procedia-Social and Behavioral Sciences 2016; 221: 308-316.

Uluskan M, Godfrey AB, Joines JA. Integration of Six Sigma to traditional quality management theory: an

empirical study on organisational performance. Total Quality Management & Business Excellence 2016;

(1): 1-18.

Pyle MJ, Liker JK. Imitation in Large Complex Organizations: A Case of Design for Six Sigma in the Automobile Industry. Journal of Enterprise Transformation 2014; 4(2): 76-99.

Gijo E, Scaria J. Process improvement through Six Sigma with Beta correction: a case study of manufacturing. The International Journal of Advanced Manufacturing Technology 2014; 71(1-4): 717-730.

Kumar M, juji A, Antony F et al. Winning customer loyalty in an automotive through Six Sigma: a case

study. Quality and Reliability Engineering International 2007; 23(7): 849-866.

Jirasukprasert P, Kumar V, Lim K et al. A Six Sigma and DMAIC application for thereduction of defects in a

rubber gloves manufacturing process. International Journal of Lean Six Sigma 2014; 5(1): 2-21.

Zhang M, Wang W, Goh T et al. Comprehensive Six Sigma application: a case study. Production Planning

& Control 2015; 26(3): 219-234

Rocha-Lona L, Alvarez-Reyes S, Kumar V et al. An integrated approach of Six Sigma and QSAM methodologies for a pharmaceutical: a shipment improvement process. International Journal of Lean Enterprise Research 2015; 1(3): 266-283.

Orbak Â. Shell scrap reduction of foam production and lamination process in automotive industry. Total

Quality Management & Business Excellence 2012; 23(3-4): 325-341.

Venkatesh N, Gowrishankar MC, Sumangala C. Study and analysis of implementation of Six-Sigma: a case

study of an automobile industry. International Journal of Productivity and Quality Management 2014; 13(1): 19-38.

Oliveira J, Silva E, Guo C et al. Industrial challenges in grinding. CIRP Annals-Manufacturing Technology 2009; 58(2): 663-680.

Antony J, Knowles G, Roberts P. Gauge capability analysis: classical versus ANOVA. Quality Assurance: Good Practice, Regulation and Law 2012; 6(3): 173-181.

Garza-Reyes J, Flint A, Kumar V et al. A DMAIRC approach to lead time reduction in an aerospace engine

assembly process. Journal of Manufacturing Technology Management 25(1): 27-48.


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