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Improving the formulation of industrial paints using FMEA and Taguchi approaches

Author

Listed:
  • Gholamreza Salehi
  • Hamid Reza Peikari
  • Arash Shahin

Abstract

The aim of this study is to explain how the quality of industrial paints can be improved by failure modes and effects analysis (FMEA) and Taguchi design of experiments. For this purpose, a paint manufacturer was selected and FMEA was applied to identify and prioritize the paint problems. Taguchi was also used to identify and determine the levels of the factors influencing the quality of products. L18 array was selected for designing the required experiments and linear graphs were applied to identify interactions among factors. Findings indicated that the best quality was obtained for the experiment with the characteristics of granule size higher than 10, peak metal temperature (PMT) of 232°C, pigment of high quality, resin content of 55%, catalyst content of 4.1%, using plate with medium quality and maximum content of additives. Results also indicated a decrease of average RPN in all of the identified problems.

Suggested Citation

  • Gholamreza Salehi & Hamid Reza Peikari & Arash Shahin, 2020. "Improving the formulation of industrial paints using FMEA and Taguchi approaches," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 30(3), pages 304-322.
    • Handle: RePEc:ids:ijpqma:v:30:y:2020:i:3:p:304-322
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