Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 8 results ...

Boudet, H S, Jayasundera, D C and Davis, J (2011) Drivers of Conflict in Developing Country Infrastructure Projects: Experience from the Water and Pipeline Sectors. Journal of Construction Engineering and Management, 137(07), 498–511.

Hermann, U H, Hasan, S, Al-Hussein, M and Bouferguene, A (2011) Innovative System for Off-the-Ground Rotation of Long Objects Using Mobile Cranes. Journal of Construction Engineering and Management, 137(07), 478–85.

Ikuma, L H, Nahmens, I and James, J (2011) Use of Safety and Lean Integrated Kaizen to Improve Performance in Modular Homebuilding. Journal of Construction Engineering and Management, 137(07), 551–60.

Lucko, G (2011) Optimizing Cash Flows for Linear Schedules Modeled with Singularity Functions by Simulated Annealing. Journal of Construction Engineering and Management, 137(07), 523–35.

Maravas, A and Pantouvakis, J (2011) Fuzzy Repetitive Scheduling Method for Projects with Repeating Activities. Journal of Construction Engineering and Management, 137(07), 561–4.

Wibowo, A and Kochendoerfer, B (2011) Selecting BOT/PPP Infrastructure Projects for Government Guarantee Portfolio under Conditions of Budget and Risk in the Indonesian Context. Journal of Construction Engineering and Management, 137(07), 512–22.

Xu, J and Zeng, Z (2011) Applying Optimal Control Model to Dynamic Equipment Allocation Problem: Case Study of Concrete-Faced Rockfill Dam Construction Project. Journal of Construction Engineering and Management, 137(07), 536–50.

  • Type: Journal Article
  • Keywords: Case studies; Construction equipment; Dynamic models; Optimization; Rock-fill dams; Construction equipment; Dynamic models; Optimization;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000325
  • Abstract:
    This paper presents an optimization method for solving a dynamic equipment allocation problem (DEAP) encountered during the implementation of a concrete-faced rockfill dam construction project. In contrast to prior studies, the uncertainties associated with equipment failures have been explicitly considered in the objective function of our mathematical model that maximizes construction throughput. Specifically, our research assumes that the equipment failure time is characterized by a Weibull distribution, which has been justified by a chi-square goodness-of-fit test. A failure probability–work time equation is also used to characterize the relationship between the equipment failure probability and mean time to work. Furthermore, our model considers multiple types of equipment, and each is capable of doing different jobs. The model is confined by the relationship equations, initial conditions, and constraint conditions. Then, the particle swarm optimization (PSO) technique is applied to search for the optimal solution of the DEAP. Finally, the Shuibuya Hydropower Project was used as a real-world example to demonstrate the practicality and efficiency of the optimization method.

Zetterlund, M, Norberg, T, Ericsson, L O and Rosén, L (2011) Framework for Value of Information Analysis in Rock Mass Characterization for Grouting Purposes. Journal of Construction Engineering and Management, 137(07), 486–97.