ABSTRACT
The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM.
While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in:
- Geostatistics and Resource Estimation
- Mine Planning
- Scheduling and Dispatch
- Mine Safety and Mine Operation
- Internet of Things, Robotics
- Emerging Technologies
- Synergies from other industries
- General aspects of Digital Transformation in Mining
Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.
TABLE OF CONTENTS
part |1 pages
General aspects of digital transformation in mining
chapter |13 pages
Investing in engineering, research and education in Africa to derive a roadmap for ensuring local digital mining success
chapter |9 pages
The application of correlation models for the analysis of market risk factors in KGHM capital group
chapter |10 pages
Improvement of investment processes in mining company by implementation of project management system
part |1 pages
Resource estimation and geostatistics
chapter |9 pages
Application of Locally Varying Anisotropy (LVA) kriging at the Grasberg porphyry Cu-Au-Ag deposit, Papua, Indonesia
chapter |8 pages
Application of ASTER multispectral data and hyperspectral spectroscopy for phosphate exploration
chapter |7 pages
Multivariate Gaussian process for distinguishing geological units using measure while drilling data
chapter |10 pages
Application of localized multivariate uniform conditioning and conditional simulation for a stockwork niobium deposit
chapter |10 pages
Multi-collocated cokriging: An application to grade estimation in the mining industry
chapter |9 pages
Critical review of mineral resource classification techniques in the gold mining industry
chapter |9 pages
Declustering weights as a measure of average sample spacing, applications in mineral resource classification
part |1 pages
Mine planning in digital transformation
chapter |9 pages
Performance assessment of antithetic random fields in a stochastic mine planning model
chapter |11 pages
Application of a digital model of deposit in Polish hard coal mines on the example of Polish Mining Group Ltd.
part |1 pages
Scheduling and dispatch
chapter |9 pages
A two-stage solution approach for a shift scheduling problem with a simultaneous assignment of machines and workers
chapter |10 pages
Framework of optimal operational indices for the open pit mines production scheduling problems
chapter |6 pages
Industrial internet of things and gamification applied to fleet and personnel management
part |1 pages
Mine operation and equipment
chapter |10 pages
Comparison between regression models and neural networks applied to forecast geometallurgical variables
chapter |10 pages
Analysis of dynamic external loads to haul truck machine subsystems during operation in a deep underground mine
chapter |9 pages
Selection of variables acquired by the on-board monitoring system to determine operational cycles for haul truck vehicle
chapter |9 pages
Approach of mining equipment performance with simulation of the use of autonomous trucks
part |1 pages
Mine safety in digital transformation
chapter |4 pages
A sensitive carbon monoxide monitoring system for forecasting coal spontaneous combustion
part |1 pages
IoT and robotics
part |1 pages
Emerging technology and synergies from other industries
