The word “Smart” has become universal in the last few years. It has extended from “Smartwatch” to “Smart Factory”. Within smart factory, the system adapts to its surroundings, using data from both the physical and virtual worlds to help human operators and automated machinery do jobs more effectively and help optimise production processes, decreasing redundant labour and a surplus of resources. Despite the possible benefits of a smart factory, it faces many challenges or barriers or obstacles in implementation in the manufacturing industry. The present research highlights the barriers to smart factory that hinder its adoption in the Indian manufacturing industry. A spherical fuzzy-full consistency method (SF-FUCOM), which is a multi-criteria decision-making (MCDM), method is used to calculate the weights of the barriers. The study found that strategic and economic barriers are the most significant obstacles to smart factories, followed by technical, ethical, legal, social, and operational barriers. This study aims to support managers and governmental bodies in developing efficient smart factory adoption strategies in manufacturing.