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AbdelRazig, Y A and Chang, L (2000) Intelligent Model for Constructed Facilities Surface Assessment. Journal of Construction Engineering and Management, 126(06), 422–32.

AbouRizk, S and Mather, K (2000) Simplifying Simulation Modeling through Integration with 3D CAD. Journal of Construction Engineering and Management, 126(06), 475–83.

Chasey, A D and Merchant, S (2000) Issues for Construction of 300-mm Fab. Journal of Construction Engineering and Management, 126(06), 451–7.

Griffis, F H ( and Christodoulou, S (2000) Construction Risk Analysis Tool for Determining Liquidated Damages Insurance Premiums: Case Study. Journal of Construction Engineering and Management, 126(06), 407–13.

Hegazy, T, Shabeeb, A K, Elbeltagi, E and Cheema, T (2000) Algorithm for Scheduling with Multiskilled Constrained Resources. Journal of Construction Engineering and Management, 126(06), 414–21.

Maberry, S (2000) Commercial Diving Operations in Construction. Journal of Construction Engineering and Management, 126(06), 433–9.

Meier, J R and Russell, J S (2000) Model Process for Implementing Maintainability. Journal of Construction Engineering and Management, 126(06), 440–50.

Wang, W and Demsetz, L A (2000) Application Example for Evaluating Networks Considering Correlation. Journal of Construction Engineering and Management, 126(06), 467–74.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2000)126:6(467)
  • Abstract:
    Current approaches to network scheduling do not consider the correlation between activity durations. When activity durations are correlated, the variability of path and project durations may be increased. High variability in a project's duration increases the uncertainty of completing the project by a target date. The model NETCOR (NETworks under CORrelated uncertainty) has been developed to evaluate schedule networks when activity durations are correlated. The NETCOR model builds upon a factor-based procedure to indirectly elicit correlation. An activity duration model disaggregates the effect of uncertainty by factors from a duration distribution (grandparent) for each activity. Correlation is captured by a child-distribution approach that further breaks down the factor-subdistribution (parent) based on the factor conditions. This paper demonstrates the practical application of NETCOR to a current construction project. Using the same inputs, the program evaluation and review technique and several simulation analyses that do not consider correlation also are evaluated. Comparison of the results shows the significance of considering correlation in scheduling analysis.

Wang, W and Demsetz, L A (2000) Model for Evaluating Networks under Correlated Uncertainty—NETCOR. Journal of Construction Engineering and Management, 126(06), 458–66.