Abstract: Wine grape rank is conducted by means of multi-objective optimization model through taking into consideration the grape and the wine as well. First of all, multi-objective 0-1 programming model is established, whose objectives contain the sum of squared error of the wine grape and grape wine quality. Secondly, the multi-objective 0-1 programming model can be translated into single objective 0-1 programming model by using the linear weighting method. Then, the rank model of the wine grape is established based on the results of wine grape classification. Finally, The model is applied to the wine rank problem. The wine grapes are divided into five levels, with the number of each level being 6, 5, 4, 6, and 6. The result of experiment proves that the method successfully avoids subjectivity and uneven ranking that exist in current ranking approaches.