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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.

  • Type: Journal Article
  • Keywords: Microtunneling; Productivity; Construction management; Delay time; Probabilistic methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:2(191)
  • Abstract:
    Delay in microtunneling projects is a complex multivariate problem. Delay in microtunneling is defined as the nonworking time of a microtunneling project due to any reason other than scheduled stops. There are many reasons for delay such as mechanical failure of system components, leakage of hydraulic hoses, blockage of slurry pipes, and waiting time for excavated materials hauling equipment. Delay time increases the project duration and consequently the project cost. Delay data were collected from 35 microtunneling projects. Collected delay data were delay duration, delay reason, time, and location from the start to the stopping point. Five categories of delay causes were used in the analysis. Prediction of delay time will enhance the estimation accuracy of microtunneling project duration. A predictive model using a probabilistic approach was selected to represent the delay time. Based on data characteristics, a Weibull distribution was determined to best represent the overall delay duration in microtunneling projects. Using “regression with life data,” expected overall delay in a microtunneling project could be predicted as a function of driven length. The model will help contractors to estimate total project time with reasonable accuracy. Knowing the anticipated delay time will allow contractors to have a point of comparison for actual performance.

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.

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