Quantification of agility of a supply chain using fuzzy logic Bolia Nomesh*, Saxena Pranav**, Bhandari Jalaj** *Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology, Delhi **currently working towards the B. Tech. Degree, Production and Industrial Engineering, Indian Institute of Technology, Delhi Online published on 26 June, 2013. Abstract We focus on the issue of performance evaluation in supply chains, in particular the concept of “Agility”. All parameters of agility can be qualitatively judged in linguistic terms. We specifically target the problem of quantification of agility by using fuzzy logic and to develop an index for the same. In particular, we use triangular fuzzy numbers constructed on a standard scale for representing both the weightage and the performance of a particular parameter. We compute a closed form expression of the association function of the proposed performance index which is useful in defuzzification. The closed form expression is very useful for further mathematical treatment and is claimed to be one of central achievements of our work. We also develop a methodology called the Critical Parameter Identification (CPI) method to identify the most important parameters for enhancement in the overall agility index. We illustrate the computation of the closed form expression of the association function, identification of the critical parameter and defuzzification using the Euclidean distance method for a simple 2-parameter example and then generalize the same for N parameters. Top Keywords fuzzy logic, agility, supply chain, Quantification of agility. Top |