Multiple Objective Linear Programming (MOLP) models have been widely used in planning problems that involve several conflicting objectives. However, continuous variables are not sufficient to accurately represent the discrete phenomena encountered in many practical decision situations. This paper presents a new approach based on a mixed 0-1 MOLP model applied to the planning of biofuel production from energy crops. A partial equilibrium micro-economic approach is opted to represent the biofuel System that consists in different chains. This resulted in a problem of considerable size that required the use of continuous but also discrete variables in order to satisfactorily simulate the real-world policy problem. The core of the model is a branch and bound algorithm, which has been modified suitably for the multi-objective case, including mixed integer problems. It is capable of generating the entire set of efficient (non-dominated) solutions which is a prerequisite of successful decision making processes in order to select among alternative policy scenarios.