FUZZY OPTIMIZATION IN A GREEN SUPPLY CHAIN CONTEXT: THE BRAZILIAN COFFEE CASE

The analysis focuses on optimizing Brazilian coffee production, its logistical steps, and supply in the American market from a green supply chain perspective. The modeling was carried out with a Life Cycle scope, considering Global Warming Potential as an environmental indicator and costs as an economic indicator. The objective was to reduce both indicators. Fuzzy variables were used to deal with uncertain parameters, proving to be very useful as the results were significantly conditioned on the efficiency of coffee roasting. The optimized arrangement favors less dispersed routes and localized coffee supplies in limited conditions, with consumer centers supplied only by one logistical and roasting route. This study provides elements to improve the production of roasted and ground coffee, as well as modeling aspects to be tested for future developments.