The correct design layout of a plant is fundamental for a manufacturing company to function efficiently. Founding out how to arrange the equipment of a plant is essential to manufacture agriculture and construction equipment. This project aims to refer to the Systematic Layout Planning (SLP) method followed to design different alternatives of layouts for a plant of a leading global company. The information gathered during the SLP, is used to generate a model incorporating data analytics tools to optimize the work done and results found with SLP. Following that, a genetic algorithm is developed to optimize the design layout. The design model is going to be able to provide the best layout option for the plant.