중남미

The present work proposes an optimization model for the supply chain design for biopropane production in Brazil, aiming to identify trade-offs and aid the decision-making process. The proposed model is a mixed integer linear programming formulation, considering a maximum net present value as the objective function. The model considers the feedstock availability, location and purchasing costs; the multiple technological routes with their average yield, raw materials, and utilities, potential production and storage facilities location, with their capacities, capital and operational costs; and the market location and demands; as well as taxes and the logistic between the layers. Using a case study covering Sao Paulo and Paraná regions, the analysis showed the influence of biopropane prices and feedstock costs on net present value. The optimized network determined glycerin dehydration as the preferred conversion route due to its higher biopropane yield and lower costs compared to other methods. The study also reveals two production and storage centers strategically located near feedstock sources, emphasizing the complex relations between location decisions, taxes, and efficient supply chain management.