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Improving the process quality using statistical design of experiments: a case study.

J Antony1, R K Roy

  • 1Portsmouth Business School, University of Portsmouth, United Kingdom.

Quality Assurance (San Diego, Calif.)
|July 1, 1999
PubMed
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Statistical design of experiments, using the Taguchi method, improved electromagnetic clutch coil manufacturing by reducing rejects. This quality enhancement is projected to save over $11,500 monthly.

Area of Science:

  • Industrial Engineering
  • Manufacturing Science
  • Quality Management

Background:

  • Statistical Design of Experiments (DOE) is a proven method for process optimization in manufacturing.
  • DOE enhances product performance, reliability, process capability, and yield.
  • The Taguchi approach offers a robust framework for DOE.

Purpose of the Study:

  • To apply DOE based on the Taguchi approach to an electromagnetic clutch coil manufacturing process.
  • To improve the quality of the existing manufacturing process.
  • To increase customer satisfaction through enhanced product quality.

Main Methods:

  • An eight-trial experiment was designed and executed.
  • The Taguchi method was employed for experimental design.

Related Experiment Videos

  • Key process parameters were analyzed to identify areas for improvement.

    • Main Results:

    • A significant reduction in the number of rejected electromagnetic clutch coils was achieved.
    • The implemented DOE strategy led to improved process quality.
    • Projected monthly savings exceeding $11,500 were estimated.

    Conclusions:

    • The application of statistical design of experiments, specifically the Taguchi approach, is effective for improving manufacturing processes.
    • The study demonstrated a clear path to enhanced product quality and customer satisfaction.
    • The success provides a strong case for wider adoption of DOE in other company processes.