Method implemented by computer means for optimizing a set of optical lens blanks to be used to manufacture a set of optical lenses, each optical lens comprising a first optical surface, a second optical surface, the first and second optical surfaces being connected by a external periphery surface, the method comprising: a data providing step during which a set of data for every optical lens of the set of optical lenses is provided, the data comprising at least contour data representative of an external periphery surface of the optical lens, a first dataset representative of the first optical surface of the optical lens and a second dataset representative of the second optical surface of the optical lens; a supply cost function providing step during which a supply cost function is provided, the supply cost function being a function of the number of different optical lens blank comprised in the set of optical lens blanks, a lens blank cost function providing step during which a lens blank cost function is provided, the lens blank cost function being a function of the price of the optical lens blanks comprised in the set of optical lens blanks, a material cost function providing step during which a material cost function is provided, the material cost function being a function of the quantity of material to be removed from an optical lens blank so as to provide an optical lens adapted to the provided data, a lens blank optimization step during which the number and the contours of the different lens blanks comprised in the set of lens blanks to be used to manufacture the set of optical lenses adapted to the provided data and that minimizes a global cost function is determined, the global cost function being a weighted sum of the supply cost function, the lens blank cost function and the material cost function with the weight of the cost functions different from zero.