Authors: Gholamreza Salehi; Hamid Reza Peikari; Arash Shahin
Addresses: Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran ' Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran ' Department of Management, University of Isfahan, Hezarjarib St., 81746-73441, Isfahan, Iran
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.
Keywords: Taguchi; failure modes and effects analysis; FMEAs; risk priority number; RPN; orthogonal array; paint.
International Journal of Productivity and Quality Management, 2020 Vol.30 No.3, pp.304 - 322
Received: 06 Aug 2018
Accepted: 17 Feb 2019
Published online: 03 Jul 2020 *