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Cox, R F, Issa, R R A and Koblegard, K (2005) Management’s Perception of Key Behavioral Indicators for Construction. Journal of Construction Engineering and Management, 131(03), 368–76.

Gunhan, S and Arditi, D (2005) Factors Affecting International Construction. Journal of Construction Engineering and Management, 131(03), 273–82.

Han, S H, Diekmann, J E and Ock, J H (2005) Contractor’s Risk Attitudes in the Selection of International Construction Projects. Journal of Construction Engineering and Management, 131(03), 283–92.

Jaselskis, E J, Gao, Z and Walters, R C (2005) Improving Transportation Projects Using Laser Scanning. Journal of Construction Engineering and Management, 131(03), 377–84.

Kim, K and de la Garza, J M (2005) Critical Path Method with Multiple Calendars. Journal of Construction Engineering and Management, 131(03), 330–42.

Lee, D (2005) Probability of Project Completion Using Stochastic Project Scheduling Simulation. Journal of Construction Engineering and Management, 131(03), 310–8.

Molenaar, K R (2005) Programmatic Cost Risk Analysis for Highway Megaprojects. Journal of Construction Engineering and Management, 131(03), 343–53.

Moselhi, O, Assem, I and El-Rayes, K (2005) Change Orders Impact on Labor Productivity. Journal of Construction Engineering and Management, 131(03), 354–9.

Rojas, E M and Mukherjee, A (2005) General-Purpose Situational Simulation Environment for Construction Education. Journal of Construction Engineering and Management, 131(03), 319–29.

Shapira, A and Raz, Y (2005) Comparative Analysis of Shoring Towers for High-Clearance Construction. Journal of Construction Engineering and Management, 131(03), 293–301.

Son, J, Mattila, K G and Myers, D S (2005) Determination of Haul Distance and Direction in Mass Excavation. Journal of Construction Engineering and Management, 131(03), 302–9.

  • Type: Journal Article
  • Keywords: Excavation; Earthmoving; Optimization; Linear programming; Computer applications;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(302)
  • Abstract:
    Currently, construction professionals can easily determine the amount of cut and fill on a mass excavation project, but can only make an educated and intuitive guess as to the required minimum haul distances and the directions to move the earth. This paper develops a mathematical optimization model for the determination of these minimum haul distances and directions. The two-dimensional model presented uses linear programming. An example of how this generic model works is detailed in this paper. Necessary inputs are the cut and fill quantities and the location of these on the site. With this mathematical model, the quantity of earth hauled, the minimum haul distances, and the locations to haul the material are determined. The solution is then made into a vector diagram detailing the quantity and direction to move material that can be used by nontechnical personnel in the field. The formulation presented in this paper will assist construction professionals by providing a method to find an optimal solution to the mass earthmoving problem. A pilot user interface is tested to investigate the possible use of an automated input system to reduce input error.

Song, L and AbouRizk, S M (2005) Quantifying Engineering Project Scope for Productivity Modeling. Journal of Construction Engineering and Management, 131(03), 360–7.