Mine planning in open pit defines the material to be extracted, when it will be extracted and its destination. Conventional scheduling usually considers block values based on geological parameters such as grade of the metal of interest, its mineralogy, and parameters external to geology. The latter parameters correspond, for example, to economic parameters, opportunity costs, types of plant and plant processes. The scope of this research is to consider geometallurgical constraints into the optimization problem known in mine planning as constrained pit limit problem (CPIT). In the last years, numerous works have proven that there is a strong effect of clays on the flotation recovery process (chalcopyrite or bornite minerals). This impact generates operational problems that, if not controlled, can decrease metallurgical recovery. For example, due to clays are usually soft rocks, the grinding time is modified, thus, the recovery which is related to the granulometry. In addition, clays increase the costs associated on water input, since they require additional consumption to obtain the expected recovery. All these factors can be handled over long periods of time, but in short times operation the response is not as immediate and effective as required to be economical. In this work, we propose a methodology which add a homogeneity condition to the optimization problem. It consists in the extraction of minerals with similar geometallurgical properties (in this case, the modeled amount of clay) on each period, and therefore the operational parameters in the plant would remain relatively the same. The algorithm was applied to a case study where zones with different levels of alteration and clay content were modeled. The valuation considered standard economic parameters of the mining industry.