Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India

Research Article

Statistical Quality Control in the Gear Manufacturing Industry

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2347021,
        author={Pradeep Kumar  J and Sarvesh  Saravanan and Lokesh  Sivabalan and Keshavkannan  Karthikeyan and Naghulvarshan  Naghulvarshan},
        title={Statistical Quality Control in the Gear Manufacturing Industry},
        proceedings={Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India},
        publisher={EAI},
        proceedings_a={ICAMDMS},
        year={2024},
        month={6},
        keywords={quality quality control tools productivity},
        doi={10.4108/eai.23-2-2024.2347021}
    }
    
  • Pradeep Kumar J
    Sarvesh Saravanan
    Lokesh Sivabalan
    Keshavkannan Karthikeyan
    Naghulvarshan Naghulvarshan
    Year: 2024
    Statistical Quality Control in the Gear Manufacturing Industry
    ICAMDMS
    EAI
    DOI: 10.4108/eai.23-2-2024.2347021
Pradeep Kumar J1,*, Sarvesh Saravanan1, Lokesh Sivabalan1, Keshavkannan Karthikeyan1, Naghulvarshan Naghulvarshan1
  • 1: PSG College of Technology
*Contact email: jpk.prod@psgtech.ac.in

Abstract

Statistical quality control is process combines various techniques to control, monitor and improve the quality of products and services. An absolute essential for an industry, regardless of its size, to produce goods or services with inherent quality. Choosing the right statistical control process for the industry helps to identify the root cause of defects or deviation from process, control them which routes to high-quality products or services which in turn enhances the industry's image in the market and increase the cost-benefit. This study involves collection of data for selected assembly line factors from gear manufacturing industry, analyzing the data using quality control tools, and identifying the defects or process deviation.From the results obtained the potential regions were immediate attention is needed, where the process deviates from the specification limits are identified and highlighted for action to the industry. Based on the inferences obtained gear manufacturing industry would be suggested to apply the techniques to make appropriate changes in its lines to improve the quality of the spur gears manufactured. The implementation depends on the company, whether to apply or not.