Algorithmic method for scraper load-time optimization

Marina Marinelli, Sergios Lambropoulos

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)459-465
    Number of pages6
    JournalJournal of Construction Engineering and Management
    Issue number5
    Publication statusPublished - May 2013


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