Proposing a New Approach for Prioritization of Organizational Agility Strategies Using FTOPSIS and Fuzzy Inference System

Document Type : Research Paper


1 MSc. in Industrial Engineering, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran

2 Assistant Professor of Management Department, University of Isfahan, Isfahan, Iran


In this context and for helping to manufacturing industries in this research an attempt has been made to provide a method to managers of evaluating and ranking of agility strategies by using of a fuzzy inference system which is a branch of artificial intelligence. This research has been performed in three sequential phases. Firstly, some variables, as factors of agility drivers, agility capabilities and agility strategies, have been extracted from literature of research. Agility driver factors of industry, based on importance of attention and responsibility, have been ranked by using fuzzy TOPSIS technique and key drivers have been selected. Secondly, agility capabilities, based on the effect of capability to overcome the key drivers, have been ranked with the use of fuzzy TOPSIS technique and then essential capabilities have been selected. Lastly, the strategies, based on the effect of strategies to improve the essential capabilities, have been evaluated by planning and using a fuzzy inference system.


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