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MODELING OF BLASTING COST AT DEEWAN CEMENT QUARRY, HATTAR USING MULTIVARIATE REGRESSION

Tahir Usman*, Khan Muhammad*

* Department of Mining Engineering, University of Engineering & Technology, Peshawar, Pakistan

ABSTRACT

Blasting is only the first step in the production process for mines and quarries and the cost of which is normally 8% to 12% of the total costs. Hence, reduced blasting cost is one of the main objectives of production blasting at a cement quarry. This paper presents the development of a prediction model for blasting cost per ton at Deewan cement quarry operations, located in Hattar, Pakistan. The dataset primarily consisted of a total of 12 parameters which has been analyzed using Principal Component Analysis (PCA) to account for most significant parameters. These parameters were then subsequently used to formulate a model for the prediction of blasting cost per ton in the cement quarry operations. The prediction model based on 5 statistically significant variables explains 88.1% of the variance while estimating the blasting cost per ton.

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Journal of Engineering and Applied Sciences

December

Vol. 41, Iss. 1, pp. 01-63

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