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New Quantitative Methods for Planning Earthwork Operations Open Access


Other title
heavy civil
Type of item
Degree grantor
University of Alberta
Author or creator
Morley, David
Supervisor and department
AbouRizk, Simaan (Civil Engineering)
Lu, Ming (Civil Engineering)
Examining committee member and department
Mohammed, Yasser (Civil Engineering)
Lu, Ming (Civil Engineering)
Joseph, Tim (Civil Engineering)
Department of Civil and Environmental Engineering
Construction Engineering and Management
Date accepted
Graduation date
Master of Science
Degree level
Earthwork operations are a critical component of major heavy civil projects, which often need to be successfully completed before other phases of construction operations can begin. As either stand alone or mining operations, they play a large role in Alberta’s economy. If delayed, project schedules can often become irrecoverable and necessitate additional cost expenditures. Academic research has been performed; however, the industry has not significantly changed its “best practice” in over 100 years. This research addresses the lack of adoption of previous academic developments and establishes the need for advancement in the face of inadequate current practice. Furthermore, new quantitative methods are proposed to simplify earthmoving simulation modeling and planning operations, including a) the use of an invariant input, the average weighted haul distance, and b) simulation derived formulas for accurate fleet selection. The methods were developed and validated through use of data provided by a major Canadian industrial earthworks contractor.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Morley, David. (2013) . 30th International Symposium of Automation and Robotics in Construction and Mining (ISARC 2013) Proceedings, ISBN: 978-1-926872-16-2Morley, David. (2013). Proceedings of the 2013 Winter Simulation Conference.

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