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Since most important driving force in a manufacturing process is to produce the best product at the lowest cost and rolling has 90% contribution in forming process so, need some effective method to shortening the lead time in the design cycle and the reducing the tooling cost and machine downtime at the production stage of rolling process. In this respective, the present work is a comprehensive review of the information of various study conducted in metal rolling and to elaborate the effect of rolling parameters on thermo-mechanical behavior of work-roll and strip. Instead of conventional processes the finite element method (FEM) is one of computational process highly recognized for better understanding of the material evolve during the process to achieve the above goal, ability to account for the complex tool/work piece interaction and boundary conditions that would occur during the manufacturing process. FEM is cable of simulating the deforming of metal in roll gap, predicting the roll contact stress, the total rolling load and the torque of rolling. Thus, Motive of this paper is focused on computational approaches to reduce cost and including neural network to reduce CPU time.