Otimização da cadeia de suprimentos de ciclo fechado do óleo lubrificante usado ou contaminado no Brasil.

Abstract

This research aims to develop a mathematical model of optimization in a closed-loop supply chain of used and contaminated lubricating oil to determine the quantities of new and used lubricating oil in order to maximize return profit. It starts from the analysis of a structure at national level. The objective is to dimension a mathematical model capable of optimizing this network, in addition to mapping the entire structure identifying its flows. Thus, presenting a comprehensive literature review (306 articles) on optimization methods, the linear programming method showed excellent results in addition to adapting the proposed structure, it is also noticed that the lubricating oil supply chain is little explored in the scientific medium for the application of mathematical modeling. Documents were analyzed and interviews were conducted to identify the structure and flows of the chain and the Linear Regression technique was used for the data collected in order to determine the amount of return of the lubricating oil and estimate possible scenarios. For the analysis of the variables of time, marketed volume and collection target, it considered an R² that fits 89.09% of the observed values. The methodological approach applied in this research is located in modeling, applying mixed integer linear programming together with fuzzy for uncertain demand data. As a main result, the optimization model included ULO's return goals established by Brazilian regulatory policy. As a main contribution, the optimization model used allows adjustments to the specificities of the regions where the product is generated.