Incorporate data analytics tools to optimize the SLP method with application to a plant of a leading global company

The correct design layout of a plant is fundamental for a manufacturing company to function efficiently. Finding 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 the best scenario of resources required for a plant of a leading global company. The information gathered during the SLP, is used to generate a mathematical programming model incorporating data analytics tools to speed up the work done and results found with SLP. Following that, a model with a genetic algorithm is developed to find good results that are necessary for the decision making for a plant redesign.