Economic globalization has forced the coffee sector to become more efficient and innovative. Due to the complexity of the subject matter, the contribution of experts in coffee research and sustainable production chains from different areas and disciplines is important. To this end, the sustainable variables derived from the MESMIS method (Framework for the Evaluation of Management Systems with Sustainability Indicators) were synthesized to evaluate sustainability as recommended by various authors. Sequentially, we worked with the information gathered from a coffee environment and with economic, statistical and multi-criteria tools for decision making. These were the Delphi methods, the Hierarchical Analysis Process (AHP), the principal components analysis (PCA), the method of response surfaces (MSR) and the equilibrium point analysis. With the sequential application of the work tools and the data reported for the selectedvariables, a statistical model of linear regression is proposed to estimate the production, sustainability and profitability of adifferentiated coffee production unit (UPCD) taking into account 10 variables of sustainability correlated among themselves and selected by experts in the coffee industry. The ranking of 3 sustainable coffee producing units is also presented.