Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 12 results ...

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.

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

  • Type: Journal Article
  • Keywords: Project management; Productivity; Construction industry; Personnel management; Cost control;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(360)
  • Abstract:
    A poor scope definition in an engineering design project disrupts project rhythm, causes rework, increases project time and cost, and lowers the productivity and morale of the workforce. A quantitative measurement of the project scope is the basis for productivity modeling that involves the measurement, estimation, control, and evaluation of productivity. This paper proposes a conceptual model, the quantitative engineering project scope definition (QEPSD), to standardize the measurement of engineering project scope in construction projects, within a computer aided design environment. The QEPSD quantitatively measures engineering project scope, in terms of the complexity of design items by defining design categories and complexity functions appropriate to the particular discipline. The proposed method was originally verified and implemented specifically for steel drafting projects. Actual data was analyzed and used to demonstrate the benefits of historical data prepared using QEPSD for project scope definition. It was found that the new method led to increased utilization of previously untapped values in historical data, improving the accuracy of project scope definition, and productivity modeling. The paper concludes with a discussion of the potential benefits of adopting the QEPSD method, and its implications upon various project management functions.