Drilling and blasting are considered to be the first unit operations in mining. Proper rock fragmentation is the key first element of the ore winning process, as it affects the productivity and economics of processing. To ensure a proper fragmentation is achieved, a lot of factors are considered, among them, the accuracy and efficiency of drilling. This makes drilling an important part of the rock fragmentation process, and the selection of a drill rig that will result in achieving desired production rate, efficiency and flexibility is thus an important decision for mining engineers. In this paper, two Multi-Attribute Decision Methods (MADM) are applied to the selection of a Production drill rig. These methods are Yager’s method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The methodology involved the application of the Analytical Hierarchy Process (AHP) method in calculation of the weights of the criteria. Expert opinion was used in the forming of AHP pairwise matrices. Yager’s and TOPSIS method are then used to rank the alternatives and finally, the most appropriate drill rig was selected. It was shown that Yager’s and TOPSIS method can be applied in equipment selection as opposed to the traditional trial-and-error methods, which will result in speedy decision making.