• Title of article

    Application of DMAIC to Reduce the Rejection Rate of Starter Motor Shaft Assembly in the Automobile Industry: A Case Study

  • Author/Authors

    G, Sundaramali Department of Manufacturing Engineering - School of Mechanical Engineering - Vellore Institute of Technology - Vellore - Tamil Nadu, India , K, Santhosh Raj Department of Manufacturing Engineering - School of Mechanical Engineering - Vellore Institute of Technology - Vellore - Tamil Nadu, India , S, Anirudh Department of Manufacturing Engineering - School of Mechanical Engineering - Vellore Institute of Technology - Vellore - Tamil Nadu, India , R, Mahadharsan Department of Manufacturing Engineering - School of Mechanical Engineering - Vellore Institute of Technology - Vellore - Tamil Nadu, India , Kumaran, Senthil Department of Manufacturing Engineering - School of Mechanical Engineering - Vellore Institute of Technology - Vellore - Tamil Nadu, India

  • Pages
    18
  • From page
    1
  • To page
    18
  • Abstract
    One of the goals of the manufacturing industry in the globalisation era is to reduce defects. Due to a variety of factors, the products manufactured in the industry may not be defect-free. Six Sigma is one of the most effective methods for reducing defects. This paper focuses on implementing Six Sigma in the automobile industry's stator motor shaft assembly. The high decibel noise produced by the stator motor is regarded as a rejected piece. Six Sigma focuses on continuous improvement and aids in process optimization by identifying the source of the defect. In the Six Sigma process, the problem is measured and analysed using various tools and techniques. Before beginning this case study, its impact on the company in terms of internal and external customer cost savings is assessed. This case study was discovered to be in a high-impact area. The issue was discovered during the Core and Shaft pressing process. Further research leads to dimensional tolerance, which reduces the defect percentage from 16.5 percent to 0.5 percent.
  • Keywords
    Reliability , Six sigma , Lean management , Quality control , DMAIC , Process monitoring and control
  • Journal title
    International Journal of Industrial Engineering and Production Research
  • Serial Year
    2021
  • Record number

    2698909