Mojtaba Sajadi - Faculty of Entrepreneurship, University of Tehran, Tehran, Iran
Mohammad Hadji Molana - Department of Industrial Engineering, Islamic Azad University, Science & Research Branch, Tehran,
Esmaeil Najafi - Department of Industrial Engineering, Islamic Azad University, Science & Research Branch, Tehran,
Sina Miri-Nargesi - Department of Industrial Engineering, Islamic Azad University, Science & Research Branch, Tehran,Iran,

In today’s environment, evaluating and optimizing of the manufacturing systems is essential. Hence, the present study is dedicated to present aframework based on Taguchi method that ranks and analyzes the manufacturing sectors. The application of Taguchi's experiment design have been proposed and implemented to evaluate the manufacturing systems. In this study, a test problem of indicators has been carried out for the two-digit ISIC sectors of manufacturing systems. Theseindicators are related to organizational and managerial productivity and efficiency. To show the validation of the Taguchi method results,Principal component analysis (PCA), has been applied. Also, Spearman and Kendall-Tau correlation experiments should show high level ofcorrelation between the findings of Taguchi and PCA. The results reveal that the proposed structure of this research could be easilyutilized for ranking and evaluating of the sectors in manufacturing systems.

Productivity and competitiveness; Taguchi Method; Principal component analysis (PCA)