Reducing the Unit Costs of Supplying Drilling Rigs with Spare Parts Based on Information Provided by the Neural Network Classifier

Abstract

Minimizing costs when organizing the supply of drilling rigs with spare parts is an important task. To do this, it is necessary to develop evaluation criteria or rely on information obtained from the monitoring system in real time. The paper proposes a model for processing the output of a drilling rig, depending on the possible strategy for operating the equipment. The work is an integral part of previously published developments presented in the materials of articles in 2-nd and 3-rd International innovative mining symposiums (2017-2018).