• DocumentCode
    597367
  • Title

    Operations modeling and analysis of open pit copper mining using GPS tracking data

  • Author

    Yifei Tan ; Chinbat, U. ; Miwa, Kenichiro ; Takakuwa, Soemon

  • Author_Institution
    Fac. of Commerce, Chuo Gakuin Univ., Abiko, Japan
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Open pit copper mining plants usually comprise two major components, the open pit mining operation and the copper ore enrichment plant. An open pit copper mine is an excavation or graze made into the surface of the ground for the purpose of extracting ore. A series of data obtained by a transportation control system with GPS (Global Positioning System) technology is utilized to perform the simulation. Operations in the mine are based on a mining plan and must be optimized because the transportation costs are expensive. In this paper, procedures are proposed to obtain an optimized number of trucks and to estimate the maximum mining capacity at an open copper pit. Then, the creation of a truck dispatching control table for meeting the maximum mining capacity is demonstrated by performing a simulation.
  • Keywords
    Global Positioning System; capacity planning (manufacturing); copper; dispatching; excavators; industrial plants; mineral processing industry; mining; optimisation; production engineering computing; transportation; GPS tracking data; copper ore enrichment plant; excavation; global positioning system; graze; maximum mining capacity estimation; mining plan; open pit copper mining; open pit mining operation; operations analysis; operations modeling; optimization; ore extraction; transportation control system; transportation costs; truck dispatching control table; Analytical models; Companies; Copper; Data mining; Data models; Fuel processing industries; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465062
  • Filename
    6465062