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Choo, H J, Tommelein, I D, Ballard, G and Zabelle, T R (1999) WorkPlan: Constraint-Based Database for Work Package Scheduling. Journal of Construction Engineering and Management, 125(03), 151–60.

Chua, D K H, Kog, Y C and Loh, P K (1999) Critical Success Factors for Different Project Objectives. Journal of Construction Engineering and Management, 125(03), 142–50.

Gransberg, D D, Dillon, W D, Reynolds, L and Boyd, J (1999) Quantitative Analysis of Partnered Project Performance. Journal of Construction Engineering and Management, 125(03), 161–6.

Hanna, A S, Russell, J S, Gotzion, T W and Nordheim, E V (1999) Impact of Change Orders on Labor Efficiency for Mechanical Construction. Journal of Construction Engineering and Management, 125(03), 176–84.

Hegazy, T (1999) Optimization of Resource Allocation and Leveling Using Genetic Algorithms. Journal of Construction Engineering and Management, 125(03), 167–75.

Li, H, Shen, L Y and Love, P E D (1999) ANN-Based Mark-Up Estimation System with Self-Explanatory Capacities. Journal of Construction Engineering and Management, 125(03), 185–9.

Shen, L, Drew, D and Zhang, Z (1999) Optimal Bid Model for Price-Time Biparameter Construction Contracts. Journal of Construction Engineering and Management, 125(03), 204–9.

Smith, S D (1999) Earthmoving Productivity Estimation Using Linear Regression Techniques. Journal of Construction Engineering and Management, 125(03), 133–41.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1999)125:3(133)
  • Abstract:
    The problem of accurate estimation of earthmoving productivity has intrigued many researchers for many years, but there is yet no model that will predict the output of such operations with a satisfactory degree of confidence for all situations. The problem is exacerbated by the occurrence of hauler bunching that results in many deterministic models overestimating productivity. Systems analysis methods can be used, such as queuing theory or simulation, but they are generally impractical to the average site planning engineer. This paper investigates the results obtained from over 140 separate earthmoving operations taken from four different highway construction projects. Initially, the effects of bunching are determined, and many factors that influence productivity are identified. To investigate the relationships between earthmoving operating conditions and both productivity and bunching, and to develop a deterministic model that will enable earthmoving operations to be planned for many different situations with relative ease, stepwise multiple regression techniques are used. The results indicate that there is a strong linear relationship between operating conditions and productivity.

Torbica, Z M and Stroh, R C (1999) Impact of Total Quality Management on Home-Buyer Satisfaction. Journal of Construction Engineering and Management, 125(03), 198–203.

Wang, S Q, Tiong, R L K, Ting, S K and Ashley, D (1999) Political Risks: Analysis of Key Contract Clauses in China's BOT Project. Journal of Construction Engineering and Management, 125(03), 190–7.