Fleet selection for earthmoving projects using optimization-based simulation

Adel Alshibani*, Osama Moselhi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This paper presents a newly developed optimization simulation model for fleet selection for earthmoving operations. Global positioning system (GPS) data is used to build and update in near real time the developed model. The model is designed to assist contractors in selecting equipment fleet configurations for earthmoving operations; taking into consideration: (1) uncertainties associated with a set of quantitative variables that represent loading, hauling, and dumping duration, as well as, project direct and indirect cost; (2) availability of resources to contractors; (3) project cost and (or) time constraints; (4) project indirect cost; and (5) scope of work. The model allows contractors to assess the risk associated with the cost of the reconfigured fleet formations. The model has been implemented using commercial simulation software along with graphical user interface (GUI) module which was developed to incorporate the collected GPS data with the optimization simulation system. A commercial web based system is used to track the truck equipped with GPS in near real time. The system was rented during the period of conducting this research work. The developed model was applied to a construction project located in the west end of Montreal to demonstrate its use in optimizing earthmoving operations during construction.

Original languageEnglish
Pages (from-to)619-630
Number of pages12
JournalCanadian journal of civil engineering
Volume39
Issue number6
DOIs
StatePublished - Jun 2012
Externally publishedYes

Keywords

  • Earth moving
  • Excavator
  • Fleet selection
  • GPS
  • Optimization-simulation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • General Environmental Science

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