Six Sigma Implementation Efficiency in an Automobile Firm
N. Venkateswaran
Dr. N. Venkateswaran1, Department of Management Studies, Panimalar Engineering College, Chennai, India.

Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12125-12129 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7972118419/2019©BEIESP | DOI: 10.35940/ijrte.D7972.118419
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Abstract: Six Sigma a new paradigm and fast growing manufacturing strategy executed and streamlined across recent automobile firms. This methodology have been faster pace of growth worldwide which helps to enhance productivity and quality improvement on existing process robust to monitor quality variations across manufacturing firms. To respond to quality changes happening every firm within the industry aligning themselves to show continuous process changes by building their existing infrastructure through Kaizen, JIT manufacturing, Business Process Reengineering practices to attain global competitive advantage and also to meet changing global customer demands by providing high quality products. This study results discussed six sigma implementation practices and various defects analysis methods followed in an automobile firm for quality and productivity improvement. This study used systematic literature review approach by analyzing existing major defective parts from the overall manufacturing products of the firm and has been analyzed using quality tools like Pareto analysis, Cause and Effect Analysis, 5 – Why analysis and Scatter diagram. The findings from this study definitely allow future researchers to progress their research activity in this field of activity helps them to open up new opportunities on six implementation issues to develop and evolve. Overall this study concluded with the suggestion of implementing Six Sigma DMAIC (Define–Measure-Analyze-Improve-Control) methodology which provides a framework to identify, quantify and eliminate sources of variation by optimizing operation variables which helps the firm to improve and sustain performance. The motive of this study is to achieve higher quality level for mutual benefits of organization and customer.
Keywords: Process Capability, Defects, Continuous Improvement, Reengineering, Sigma Levels.
Scope of the Article: Signal and Image Processing.