Mining goes Digital Proceedings of the 39th International Symposium 'Application of Computers and Operations Research in the Mineral Industry' (APCOM 2019), June 4-6, 2019, Wroclaw, Poland
Coordonnateurs : Mueller Christoph, Assibey-Bonsu Winfred, Baafi Ernest, Dauber Christoph, Doran Chris, Jaszczuk Marek, Nagovitsyn Oleg
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.
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
Date de parution : 06-2019
17.4x24.6 cm
Thèmes de Mining goes Digital :
Mots-clés :
Ultimate Pit Limit; geostatistics and resource estimation; Long Term Production Scheduling; mine planning; Open Pit Mine Planning; scheduling and dispatch; Short Term Production Scheduling; mine operation in digital transformation; Mine Production Scheduling; emerging technology and robotics in mining; Short Term Scheduling Problem; robotics; Underground Mine Planning; mineral industry; Optimal Mine Plan; Internet of Things; Production Scheduling; digital transformation; Estimate Mineral Resources; ICT-related developments; Gaussian Anamorphosis; Data Sets; Grade Variability; Sequential Gaussian Simulation; MILP Model; Cycle Time; Variogram Range; Kriging Variance; Ordinary Kriging; Conditional Simulation; Simulating Grades; DHS; Normal Score Transformation; Metallurgical Recovery; Rock Mass