Nowadays, the fact that perishable product like dairy products do not reach the customers on time is among the major challenges in the cold chain of perishable products. In this concern, to answer the question of how to make the cold supply chain more agile might lead to the possibility of an increased control over this problem. This study first aimed to identify the factors that affect the agility of the cold supply chain and next applying GRAY-DEMATEL-AHP to rank order them. To collect the required data, the literature of the subject and the opinions of experts and stakeholders who had sufficient experience in the cold chain were obtained. Applying snowball sampling, the identified factors were confirmed after several revisions by Delphi procedure. In addition, in order to take advantage of both GRAY and DEMATEL approaches, the two methods were combined to examine causal relationships among the factors affecting the agility of the cold supply chain. The results indicated that among the sourcing sub-factors, the government decision-making and policies with a weight of 0. 212 ranked first and among the distribution sub-factors, loading time and speed of action in distribution, with a weight of 0. 188, ranked first. Furthermore, among the sub-factors of production, accurate planning and speed of action in order production, with a weight of 0. 342, was at the first rank. The findings of the study might contribute valuable knowledge to the study of the dairy industry cold supply chain agility.