An integrated framework for continuous assessment and improvement of manufacturing systems

This paper presents an integrated framework for assessment and ranking of manufacturing systems based on management and organizational performance indicators. The integrated approach of this paper is based on principal component analysis. The validity of the model is verified and validated by numerical taxonomy and clustering analysis approach. Furthermore, the non-parametric correlation methods, namely, Spearman and Kendall-Tau correlation experiments should show high level of correlation between the findings of PCA and taxonomy. To achieve the objectives of this study, a comprehensive study was conducted to locate all economic and technical indicators which influence organizational performance. Sixty one indicators were identified and classified in five categories, namely, (1) financial, (2) customer satisfaction, (3) process innovation, (4) production process and (5) organizational learning and growth. These indicators are related to organizational and managerial productivit...

• Type: Journal
• Year: 2007
• Where: AMC
• Authors: Ali Azadeh, S. F. Ghaderi, Y. Partovi Miran, V. Ebrahimipour, K. Suzuki
• Keywords: AMC 2007, Integrated Approach, Organizational Performance, Organizational Performance Indicators