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Cha, H S and O’Connor, J T (2005) Optimizing Implementation of Value Management Processes for Capital Projects. Journal of Construction Engineering and Management, 131(02), 239–51.

Darren Graham, L, Smith, S D and Dunlop, P (2005) Lognormal Distribution Provides an Optimum Representation of the Concrete Delivery and Placement Process. Journal of Construction Engineering and Management, 131(02), 230–8.

Dikmen, I, Birgonul, M T and Kiziltas, S (2005) Prediction of Organizational Effectiveness in Construction Companies. Journal of Construction Engineering and Management, 131(02), 252–61.

Elhakeem, A and Hegazy, T (2005) Graphical Approach for Manpower Planning in Infrastructure Networks. Journal of Construction Engineering and Management, 131(02), 168–75.

Hinze, J, Huang, X and Terry, L (2005) The Nature of Struck-by Accidents. Journal of Construction Engineering and Management, 131(02), 262–8.

Kajewski, S L (2005) Multilevel Formwork Load Distribution with Posttensioned Slabs. Journal of Construction Engineering and Management, 131(02), 203–10.

Kazaz, A and Birgonul, M T (2005) Determination of Quality Level in Mass Housing Projects in Turkey. Journal of Construction Engineering and Management, 131(02), 195–202.

Love, P E D, Tse, R Y C and Edwards, D J (2005) Time–Cost Relationships in Australian Building Construction Projects. Journal of Construction Engineering and Management, 131(02), 187–94.

Ping Ho, S (2005) Bid Compensation Decision Model for Projects with Costly Bid Preparation. Journal of Construction Engineering and Management, 131(02), 151–9.

Schexnayder, C, Knutson, K and Fente, J (2005) Describing a Beta Probability Distribution Function for Construction Simulation. Journal of Construction Engineering and Management, 131(02), 221–9.

  • Type: Journal Article
  • Keywords: Simulation models; Probability density functions; Construction; Productivity;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:2(221)
  • Abstract:
    A typical proposed application for a construction simulation model is to assess the productivity of a future operation. This type of application inherently presents the modeler with a situation where there is only a limited amount of data available for choosing an underlying probability distribution function (PDF). This paper presents a formulation for developing a Beta PDF for use in construction simulation modeling. The hypothesis of this paper is that there is a ratio that relates the 75th percentile to the mode of the activity duration. The research demonstrates that using such ratios, along with the minimum, mode, and maximum activity durations, results in estimates of a beta PDF that accurately describes the underlying duration distribution of construction activities. In the methodology proposed here the minimum and maximum activity durations are predicted using deterministic methods based on the physical characteristics of the job and equipment employed. The beta-shaped parameters a and b are estimated using a procedure for fitting beta distributions to activity times when sample data are not available.

Shen, L Y and Wu, Y Z (2005) Risk Concession Model for Build/Operate/Transfer Contract Projects. Journal of Construction Engineering and Management, 131(02), 211–20.

Walsh, K D, Sawhney, A and Brown, A (2005) International Comparison of Cost for the Construction Sector: Purchasing Power Parity. Journal of Construction Engineering and Management, 131(02), 160–7.

Zheng, D X M and Ng, S T (2005) Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front. Journal of Construction Engineering and Management, 131(02), 176–86.