Algorithmic Method for Scraper Load-Time Optimization
Publication: Journal of Construction Engineering and Management
Volume 139, Issue 5
Abstract
Scrapers have established an important position in the earthmoving field as they are independently capable of accomplishing an earthmoving operation. Given that loading a scraper to its capacity does not entail its maximum production, optimizing the scraper’s loading time is an essential prerequisite for successful operations management. The relevant literature addresses the loading time optimization through a graphical method that is founded on the invalid assumption that the hauling time is independent of the load time. To correct this, a new algorithmic optimization method that incorporates the golden section search and the bisection algorithm is proposed. Comparison of the results derived from the proposed and the existing method demonstrates that the latter entails the systematic needless prolongation of the loading stage thus resulting in reduced hourly production and increased cost. Therefore, the proposed method achieves an improved modeling of scraper earthmoving operations and contributes toward a more efficient cost management.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 139 • Issue 5 • May 2013
Pages: 459 - 465
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Dec 27, 2010
Accepted: Jun 11, 2012
Published online: Jul 25, 2012
Published in print: May 1, 2013
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