Abstracts – Browse Results

Search or browse again.

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

Canales, A R, Arbelaez, M, Vasquez, E, Aveiga, F, Strong, K, Walters, R, Jaselskis, E J and Jahren, C T (2009) Exploring Training Needs and Development of Construction Language Courses for American Supervisors and Hispanic Craft Workers. Journal of Construction Engineering and Management, 135(05), 387–96.

Dai, J, Goodrum, P M, Maloney, W F and Srinivasan, C (2009) Latent Structures of the Factors Affecting Construction Labor Productivity. Journal of Construction Engineering and Management, 135(05), 397–406.

Hegab, M and Smith, G R (2009) Labor Performance Analysis for Microtunneling Projects. Journal of Construction Engineering and Management, 135(05), 432–5.

  • Type: Journal Article
  • Keywords: Microtunneling; Productivity; Construction management; Probability; Labor;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:5(432)
  • Abstract:
    Microtunneling projects have special process characteristics. The production time of microtunneling projects is needed for project estimating and scheduling. The production time has three basic components: (1) preparation times for pipe segments; (2) preparation times; and (3) delay times. Real project data were collected from 35 projects to predict the time needed for pipe segment preparation. A probabilistic distribution technique was used to predict the preparation times for pipe segments. Various numbers of probabilistic distributions were tested against the data. A log-logistic distribution was selected to represent the preparation time’s probability for a pipe in microtunneling projects. Preparation times for high, medium, and low performance contractors were predicted. By enhancing the estimation process of the microtunneling projects, contractors can use this paper in predicting the preparation time for pipe segments, which represents the crew (or crew’s) productivity.

Hinze, J and Olbina, S (2009) Empirical Analysis of the Learning Curve Principle in Prestressed Concrete Piles. Journal of Construction Engineering and Management, 135(05), 425–31.

Hwang, S (2009) Dynamic Regression Models for Prediction of Construction Costs. Journal of Construction Engineering and Management, 135(05), 360–7.

Jang, W and Skibniewski, M J (2009) Cost-Benefit Analysis of Embedded Sensor System for Construction Materials Tracking. Journal of Construction Engineering and Management, 135(05), 378–86.

Lewis, P, Rasdorf, W, Frey, H C, Pang, S and Kim, K (2009) Requirements and Incentives for Reducing Construction Vehicle Emissions and Comparison of Nonroad Diesel Engine Emissions Data Sources. Journal of Construction Engineering and Management, 135(05), 341–51.

Lucko, G and Peña Orozco, A A (2009) Float Types in Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 135(05), 368–77.

Mao, X, Zhang, X and AbouRizk, S M (2009) Enhancing Value Engineering Process by Incorporating Inventive Problem-Solving Techniques. Journal of Construction Engineering and Management, 135(05), 416–24.

Mitropoulos, P and Cupido, G (2009) Safety as an Emergent Property: Investigation into the Work Practices of High-Reliability Framing Crews. Journal of Construction Engineering and Management, 135(05), 407–15.

Moynihan, G, Zhou, H and Cui, Q (2009) Stochastic Modeling for Pavement Warranty Cost Estimation. Journal of Construction Engineering and Management, 135(05), 352–9.