Statistical approach to determination of overhaul and maintenance cost of loading equipment in surface mining

作     者：Lashgari Ali Sayadi Ahmad Reza 

作者机构：Department of Mining Engineering West Virginia University Department of Mining Faculty of Engineering Tarbiat Modares University 

出 版 物：《International Journal of Mining Science and Technology》 (矿业科学技术学报（英文版）)

年 卷 期：2013年第23卷第3期

页      面：441-446页

核心收录：

学科分类：081901[工学-采矿工程] 0819[工学-矿业工程] 08[工学] 

主　　题：Overhaul and maintenance cost Loading equipment Surface mining Univariate exponential regression Multivariate linear regression Principal component analysis 

摘      要：The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations.