Akademik Veri Yönetim Sistemi
6th International Conference on Computer Applications in the Minerals Industries, İstanbul, Türkiye, 5 - 07 Ekim 2016, ss.1-5, (Tam Metin Bildiri)
The high cost of drilling has a serious impact on mining operations requiring strategies that use advanced technologies and techniques that closely monitor the drilling operations to reduce costs and maximize performance. Experimental design and analysis methods are used to investigate controllable parameters of drilling activity evaluation of the effects of several different independent factors on response variables. Multiple input factors are considered and controlled simultaneously to ensure that the effects on the output responses are statistically significant. The most crucial reasons for statistically experimental design are to minimize the cost of obtaining usable data and to use time effectively and efficiently. In this paper, a full factorial design method was used to collect and evaluate the data from an open-pit iron mine. JMP software was used to determine the regression equation of 8 different combinations of controllable drilling parameters for 8 different time intervals. Statistical results were interpreted.