E3S Web Conf.
Volume 105, 2019IVth International Innovative Mining Symposium
|Number of page(s)||7|
|Section||Innovations in Mining Machinery|
|Published online||21 June 2019|
Reducing the Unit Costs of Supplying Drilling Rigs with Spare Parts Based on Information Provided by the Neural Network Classifier
Tver State Technical University, A. Nikitin Street, 22, 170026, Tver, Russia
* Corresponding author: email@example.com
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).
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.