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Earthmoving in submerged sandsGrinsted, T. W. January 1985 (has links)
No description available.
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Decision making for capital works contract equipment.Yuen, Wai-to, January 1978 (has links)
Thesis (M. Sc.)--University of Hong Kong, 1978.
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Factors affecting the performance of self-propelled scrapersSherman, James Edward, 1939- January 1963 (has links)
No description available.
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The tractive performance of a friction-based prototype trackYu, Tingmin. January 2005 (has links)
Thesis (Ph.D.)(Civil and Biosystems Engineering)--University of Pretoria, 2005. / Includes bibliographical references. Includes bibliographical references. Available on the Internet via the World Wide Web.
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Maintenance management with emphasis on condition monitoring of excavation machinesGouws, Leonie Elizabeth 12 February 2014 (has links)
M.Ing. (Engineering Management) / Please refer to full text to view abstract
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Productivity analysis of earthmoving operationsGomez Rueda, Oscar J Unknown Date
No description available.
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Productivity analysis of earthmoving operationsGomez Rueda, Oscar J 06 1900 (has links)
Heavy construction and mining general contractors record on a daily basis large amount of operational data. Nevertheless, this information is rarely used to enhance the knowledge and capabilities of the companies that spent great amount of money and resources recording it. This research presents different approaches on how to process this data to convert it in useful information. The prime goal of this analysis is to determine a suitable and convenient method to obtain and present historical productivities of key equipment, in order to provide a tool to aid estimating and generate reference information to support decision making. Data mining, artificial neural networks and summarization tools proved to assist effectively in the assessment of historical productivities and in the identification of the attributes that most influence the results. / Construction Engineering and Management
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The development of competitive advantage model of Taiwan earthmoving equipment industry /Lee, Chaing-Jiang. Unknown Date (has links)
This dissertation analyzed data and the competitiveness model of the Taiwanese earthmoving equipment industry. Competitiveness in this industry is the most important factor impacting the struggle of businesses for existence. Thus, understanding factors affecting competitiveness is important for business decision-makers. / Thesis (PhD)--University of South Australia, 2008.
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The modelling of granular flow using the particle-in-cell method /Coetzee, Corné J. January 2004 (has links)
Thesis (PhD)--University of Stellenbosch, 2004. / Bibliography. Also available via the Internet.
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A Statistical Analysis Of Construction Equipment Repair Costs Using Field Data & The Cumulative Cost ModelMitchell, Zane Windsor Jr. 30 April 1998 (has links)
The management of heavy construction equipment is a difficult task. Equipment managers are often called upon to make complex economic decisions involving the machines in their charge. These decisions include those concerning acquisitions, maintenance, repairs, rebuilds, replacements, and retirements. The equipment manager must also be able to forecast internal rental rates for their machinery. Repair and maintenance expenditures can have significant impacts on these economic decisions and forecasts. The purpose of this research was to identify a regression model that can adequately represent repair costs in terms of machine age in cumulative hours of use. The study was conducted using field data on 270 heavy construction machines from four different companies. Nineteen different linear and transformed non-linear models were evaluated. A second-order polynomial expression was selected as the best. It was demonstrated how this expression could be incorporated in the Cumulative Cost Model developed by Vorster where it can be used to identify optimum economic decisions. It was also demonstrated how equipment managers could form their own regression equations using standard spreadsheet and database software. / Ph. D.
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