Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 11 results ...

Chan, A P C, Wong, F K W, Chan, D W M, Yam, M C H, Kwok, A W K, Lam, E W M and Cheung, E (2008) Work at Height Fatalities in the Repair, Maintenance, Alteration, and Addition Works. Journal of Construction Engineering and Management, 134(07), 527–35.

Damnjanovic, I and Zhang, Z (2008) Risk-Based Model for Valuation of Performance-Specified Pavement Maintenance Contracts. Journal of Construction Engineering and Management, 134(07), 492–500.

Eastman, C M and Sacks, R (2008) Relative Productivity in the AEC Industries in the United States for On-Site and Off-Site Activities. Journal of Construction Engineering and Management, 134(07), 517–26.

Goedert, J D and Meadati, P (2008) Integrating Construction Process Documentation into Building Information Modeling. Journal of Construction Engineering and Management, 134(07), 509–16.

Hyun, C, Cho, K, Koo, K, Hong, T and Moon, H (2008) Effect of Delivery Methods on Design Performance in Multifamily Housing Projects. Journal of Construction Engineering and Management, 134(07), 468–82.

Nguyen, L D and Ibbs, W (2008) FLORA: New Forensic Schedule Analysis Technique. Journal of Construction Engineering and Management, 134(07), 483–91.

  • Type: Journal Article
  • Keywords: Claims; Delay time; Litigation; Construction management; Forensic engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(483)
  • Abstract:
    While various factors such as float ownership, logic change, and resource allocation (FLORA) affect results of delay analysis, existing delay analysis techniques tend to ignore most if not all of them. To address this insufficiency this paper proposes a new schedule analysis technique called FLORA that simultaneously captures the dynamics of float, logic, and resource allocation in its analyses. FLORA analyzes not only the direct impact of a delay but also its “secondary” effect. The analysis process follows ten rules that are flexible and customizable. A case study is employed to illustrate its application. FLORA yields different and more reasonable outcomes compared to the window analysis technique. Each single analysis may also yield different or even conflicting results. By properly dealing with the current issues of schedule analysis, FLORA can be more reliable. Practitioners may readily accept its analyses and outcomes because they are able to specify, modify, and consent to the rules for schedule analysis to fit into a specific context in advance. Researchers may further evaluate the impacts of different factors on delay responsibility or apply FLORA to real projects to assess its strengths, weaknesses, and potential improvements.

Salem, O and Mohanty, S (2008) Project Management Practices and Information Technology Research. Journal of Construction Engineering and Management, 134(07), 501–8.

Sanad, H M, Ammar, M A and Ibrahim, M E (2008) Optimal Construction Site Layout Considering Safety and Environmental Aspects. Journal of Construction Engineering and Management, 134(07), 536–44.

Tam, V W Y, Le, K N and Le, H N (2008) Using Gaussian and Hyperbolic Distributions for Quality Improvement in Construction: Case Study Approach. Journal of Construction Engineering and Management, 134(07), 555–61.

Tang, W, Qiang, M, Duffield, C F, Young, D M and Lu, Y (2008) Incentives in the Chinese Construction Industry. Journal of Construction Engineering and Management, 134(07), 457–67.

Zhang, H, Li, H and Lu, M (2008) Modeling Time-Constraints in Construction Operations through Simulation. Journal of Construction Engineering and Management, 134(07), 545–54.