Supply Chain Management (SCM) is a mathematical approach to control the supply chain in an efficient way. Traditional SCM models require crisp data; however, in real-world problems the data available may often be imprecise like fuzzy numbers. In order to enter the fuzzy numbers into SCM models many attempts has been made by the researchers but in the existing approaches many information on uncertainties are lost. This paper represents a method which keeps the uncertainty of the data through the computation. In the presented method, keeping the uncertainty through the computation yields a multi objective nonlinear programming.