Algorithmic Method for Scraper Load-Time Optimization
Autor: | Marina Marinelli, Sergios Lambropoulos |
---|---|
Rok vydání: | 2013 |
Předmět: |
Construction management
Engineering Mathematical optimization business.industry Strategy and Management Building and Construction Field (computer science) Scraper site Position (vector) Industrial relations Bisection method Production (economics) Load time business Simulation Civil and Structural Engineering |
Zdroj: | Journal of Construction Engineering and Management. 139:459-465 |
ISSN: | 1943-7862 0733-9364 |
DOI: | 10.1061/(asce)co.1943-7862.0000624 |
Popis: | 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 contribute... |
Databáze: | OpenAIRE |
Externí odkaz: |