Improvements in truck requirement estimations using detailed haulage analysis

Doig, Patrick and Kizil, Mehmet S. (2013). Improvements in truck requirement estimations using detailed haulage analysis. In: Proceedings of the 2013 Coal Operators' Conference. 2013 Coal Operators Conference, Wollongong, NSW, Australia, (368-375). 14-15 February, 2013.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
Author Doig, Patrick
Kizil, Mehmet S.
Title of paper Improvements in truck requirement estimations using detailed haulage analysis
Conference name 2013 Coal Operators Conference
Conference location Wollongong, NSW, Australia
Conference dates 14-15 February, 2013
Proceedings title Proceedings of the 2013 Coal Operators' Conference
Place of Publication Wollongong, NSW, Australia
Publisher The University of Wollongong
Publication Year 2013
Sub-type Fully published paper
ISBN 9781921522833
Start page 368
End page 375
Total pages 8
Collection year 2014
Language eng
Formatted Abstract/Summary
Accuracy in haulage analysis is fundamental for reliable cost and productivity estimation. The level of detail to which haulage analysis is conducted can significantly influence these estimations. The recent advancement of computer processing has enabled a range of software to manage large datasets and run multiple and complex haulage scenarios, thus increasing the level of detail. Substantial evidence is available to affirm the benefits of detail in haulage analysis through the scope of truck cycle time and truck prediction methods. However, due to the novelty of advanced software, no literature that documents the level of detail and frequency of haul roads required for haulage analysis was found. It was therefore, the objective of ongoing work for this research project to quantify the value added through additional detail in haulage analysis, specifically, the benefit of frequently changing haul roads. To facilitate this process, nineteen haulage scenarios were analysed with varying detail. In addition, a geological model and topography was created. From the analysis conducted, a clear relationship was identified between decreasing haul road calculation frequency and inverse variance error from the mean cycle time. The research showed that performing two as opposed to a single haulage analyses for a strip can affect the calculated truck cycle times from 6% to 14%. Additionally, it was found that changes in horizontal distance from the endwall were more significant than the vertical change for the analysed strip.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Tue, 24 Sep 2013, 14:50:22 EST by Rose Clements on behalf of School of Mechanical and Mining Engineering