Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 10 results ...

Bernold, L E (2007) Teaching Evaluations for Construction Engineering and Management: Opportunity to Move Us Forward. Journal of Construction Engineering and Management, 133(02), 146–56.

Fong, P S and Lung, B W (2007) Interorganizational Teamwork in the Construction Industry. Journal of Construction Engineering and Management, 133(02), 157–68.

Hegab, M Y and Smith, G R (2007) Delay Time Analysis in Microtunneling Projects. Journal of Construction Engineering and Management, 133(02), 191–5.

Ibbs, W and Nguyen, L D (2007) Schedule Analysis under the Effect of Resource Allocation. Journal of Construction Engineering and Management, 133(02), 131–8.

Lee, E and Thomas, D K (2007) State-of-Practice Technologies on Accelerated Urban Highway Rehabilitation: I-15 California Experience. Journal of Construction Engineering and Management, 133(02), 105–13.

Mayer, Z and Kazakidis, V (2007) Decision Making in Flexible Mine Production System Design Using Real Options. Journal of Construction Engineering and Management, 133(02), 169–80.

McCowan, A K and Mohamed, S (2007) Decision Support System to Evaluate and Compare Concession Options. Journal of Construction Engineering and Management, 133(02), 114–23.

Mohamad Karimi, S, Jamshid Mousavi, S, Kaveh, A and Afshar, A (2007) Fuzzy Optimization Model for Earthwork Allocations with Imprecise Parameters. Journal of Construction Engineering and Management, 133(02), 181–90.

Sakka, Z I and El-Sayegh, S M (2007) Float Consumption Impact on Cost and Schedule in the Construction Industry. Journal of Construction Engineering and Management, 133(02), 124–30.

  • Type: Journal Article
  • Keywords: Risk management; Scheduling; Simulation; Monte Carlo method; Cost control; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:2(124)
  • Abstract:
    Quantifying and minimizing the risks associated with delays in the construction industry are the main challenges for all parties involved. Float loss impact in noncritical activities is one of the complicated delays to assess on a project’s duration and cost. This is due to the fact that the deterministic critical path method cannot cope with such delays unless they exceed the total float values. Further, stochastic analysis, which is used in this research to assess the impact of such delays, is perceived by many planners to be complicated and time consuming. This paper presents a method to control the risks associated with float loss in construction projects. The method uses a recently developed multiple simulation analysis technique that combines the results of cost range estimates and stochastic scheduling, using Monte Carlo simulation. The proposed method quantifies the float loss impact on project duration and cost. Least-squares nonlinear regression is used to convert the stochastic results into a polynomial function that quantifies the float loss impact by relating directly the float loss value to project duration and cost at a specified confidence level.

Stoy, C and Schalcher, H (2007) Residential Building Projects: Building Cost Indicators and Drivers. Journal of Construction Engineering and Management, 133(02), 139–45.