Abstracts – Browse Results

Search or browse again.

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

Adeli, H and Wu, M (1998) Regularization Neural Network for Construction Cost Estimation. Journal of Construction Engineering and Management, 124(01), 18–24.

Ballard, G and Howell, G (1998) Shielding Production: Essential Step in Production Control. Journal of Construction Engineering and Management, 124(01), 11–17.

Fayek, A (1998) Competitive Bidding Strategy Model and Software System for Bid Preparation. Journal of Construction Engineering and Management, 124(01), 1–10.

Hinze, J, Pedersen, C and Fredley, J (1998) Identifying Root Causes of Construction Injuries. Journal of Construction Engineering and Management, 124(01), 67–71.

Minato, T and Ashley, D B (1998) Data-Driven Analysis of “Corporate Risk” Using Historical Cost-Control Data. Journal of Construction Engineering and Management, 124(01), 42–47.

Ohrn, L G and Schexnayder, C (1998) Performance-Related Specifications for Highway Construction. Journal of Construction Engineering and Management, 124(01), 25–30.

Saad, I M H and Hancher, D E (1998) Multimedia for Construction Project Management: Project Navigator. Journal of Construction Engineering and Management, 124(01), 82–89.

Senior, B A and Halpin, D W (1998) Simplified Simulation System for Construction Projects. Journal of Construction Engineering and Management, 124(01), 72–81.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1998)124:1(72)
  • Abstract:
    A new scheduling system based on statistical simulation is discussed. The system, called project-integrated cyclic analysis of serial system operations (PICASSO), blends and enhances two existing techniques, namely, the critical path method (CPM) and the cyclic operations network (CYCLONE) simulation. A PICASSO project diagram consists of a circle for each modeled resource, a box for each repeated activity, and arrows connecting these elements. The elements can be cycled as many times as required; thus each repetitive activity chain needs to be depicted only once. The massiveness of CPM and similar network techniques when applied to model repetitive projects is avoided altogether. The PICASSO also enhances the quality of the scheduling information normally found in simulation. Its scheduling procedures yield resource utilization statistics and activity chain float. The forward pass procedure computes early start dates and provides data for resource utilization statistics as well as for the backward pass calculations. The latter algorithm provides float information for each activity chain. Application examples illustrate the development and implementation of the method.

Sinfield, J V and Einstein, H H (1998) Tunnel Construction Costs for Tube Transportation Systems. Journal of Construction Engineering and Management, 124(01), 48–57.

Thomas, S R, Tucker, R L and Kelly, W R (1998) Critical Communications Variables. Journal of Construction Engineering and Management, 124(01), 58–66.

Warszawski, A and Navon, R (1998) Implementation of Robotics in Building: Current Status and Future Prospects. Journal of Construction Engineering and Management, 124(01), 31–41.