International Journal of Management and International Business Studies. ISSN 2277-3177 Volume 4, Number 2 (2014), pp. 149-158 © Research India Publications http://www.ripublication.com A Fuzzy Based Decision Support Framework towards Benchmarking of Enterprise (Supply Chain) Agility: An Empirical Research Arup Gourab Sahoo 1 , Santosh Kumar Sahu 2 , Chhabi Ram Matawale 3 , Saurav Datta 4* and Siba Shankar Mahapatra 5 1 B.Tech 2 M-Tech (Research) 3 Ph.D Research Scholar 12345 Department of Mechanical Engineering National Institute of Technology, Rourkela-769008, Odisha, INDIA Abstract In current scenario, selection of agile enterprises is very crucial to the supply chain agility and competition. Due to the vague and ill-defined performance indicators which exist within agility assessment, most measures are described subjectively by linguistic terms which are characterized by ambiguity and multi-possibility. Therefore, this work presents a fuzzy-TOPSIS approach to handle with the alternative selection problem in agile supply chain systems. In this concept, a closeness coefficient is defined to determine the ranking order of all the alternatives by calculating the distances to the both fuzzy positive ideal solution and fuzzy negative ideal solution, simultaneously. Finally the effectiveness of the model is illustrated using a case empirical study. 1. Introduction and State of Art Agile supply chain (ASC) is an advanced concept in global manufacturing and collective enterprise management. Agile Supply Chain Management (ASCM) is the combination of agile conception and SCM, which makes enterprises work together through collaborative manage and improves the agility enterprises, even whole supply chain management. The key of building double profit ASCM is select agile, strength and consistent suppliers [1-2]. It can also improve SCM efficiency. Traditional supply relationship can’t adapt global competition and product requirement variety. As