Steelmaking has evolved in the past decade to incorporate advanced technologies in line with global development. However, the use of data analytics, artificial intelligence, and advanced optimization process in day-to-day operations is yet to evolve. This paper aims to develop an optimization model for planning the production sequence and allocating resources keeping view of the technical and resource constraints of the steel plant. Multi-criteria decision modeling is used to generate the product mix, and sequencing of the product mix is done through an iterative route-finding method based on the objective selected using transportation algorithms.