Improvements in truck requirement estimations using detailed haulage analysis

摘要: Accuracy in haulage analysis is fundamental for reliable cost and productivity estimation. The level of detail to which conducted can significantly influence these estimations. recent advancement computer processing has enabled a range software manage large datasets run multiple complex scenarios, thus increasing the detail. Substantial evidence available affirm benefits through scope truck cycle time prediction methods. However, due novelty advanced software, no literature that documents frequency haul roads required was found. It therefore, objective ongoing work this research project quantify value added additional analysis, specifically, benefit frequently changing roads. To facilitate process, nineteen scenarios were analysed with varying In addition, geological model topography created. From conducted, clear relationship identified between decreasing road calculation inverse variance error from mean time. showed performing two as opposed single analyses strip affect calculated times 6% 14%. Additionally, it found changes horizontal distance endwall more significant than vertical change strip.