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.
Incorporate Data Analytics Tools to Optimize the SLP Method with Application to a Plant of a Leading Global Company
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