slugProductivity improvement through six sigma methodology in bearing manufacturing

Abstract

Purpose of this paper: In the paper is presented a Six Sigma project, undertaken within company for production in BEARINGS, which deals with identification and reduction of production cost & process. Design/methodology/approach: The objectives are achieved by application of Six Sigma approach to quality Improvement project in bearing industry. The applied Six Sigma approach includes team works through Several phases: Define, Measure, Analyze, Improve, and Control (DMAIC). Findings: Systematic application of Six Sigma DMAIC tools and methodology within an bearings parts. Production results with several achievements such are reduction of tools expenses, cost of poor quality and labours expenses. It was shown that Six sigma is an effective way to find out where are the greatest process needs and which are the Softest points of the process. Also, Research implications: The possibility of application of several Six Sigma tools such are thought process mapping, Pareto diagrams, cause and effect diagram, and analysis of variation and capability studies. Practical implications: Improvements through reduced Production time, Control time, Material and Internal Scrap have been yield significant financial. Furthermore, this pilot project enabled introduction of Six Sigma Methodology in wider range of manufacturer activities. Originality/value: The paper researches the possibility of Six Sigma application within manufacturing process. This paper is of the value to researcher in the field of quality management and quality improvement, as well as to professionals in the manufacturing industry, wherever the quality improvement is an issue.

Authors and Affiliations

Darshan D. Patel, K. R. Gawande

Keywords

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  • EP ID EP17808
  • DOI -
  • Views 361
  • Downloads 12

How To Cite

Darshan D. Patel, K. R. Gawande (2014). slugProductivity improvement through six sigma methodology in bearing manufacturing. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(3), -. https://europub.co.uk/articles/-A-17808