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Agbulos, A, Mohamed, Y, Al-Hussein, M, AbouRizk, S and Roesch, J (2006) Application of Lean Concepts and Simulation Analysis to Improve Efficiency of Drainage Operations Maintenance Crews. Journal of Construction Engineering and Management, 132(03), 291–9.

El Wardani, M A, Messner, J I and Horman, M J (2006) Comparing Procurement Methods for Design-Build Projects. Journal of Construction Engineering and Management, 132(03), 230–8.

El-Diraby, T E (2006) Web-Services Environment for Collaborative Management of Product Life-Cycle Costs. Journal of Construction Engineering and Management, 132(03), 300–13.

Ellis, R D and Lee, S (2006) Measuring Project Level Productivity on Transportation Projects. Journal of Construction Engineering and Management, 132(03), 314–20.

Hinze, J, Devenport, J N and Giang, G (2006) Analysis of Construction Worker Injuries That Do Not Result in Lost Time. Journal of Construction Engineering and Management, 132(03), 321–6.

Kaiser, M J (2006) Offshore Decommissioning Cost Estimation in the Gulf of Mexico. Journal of Construction Engineering and Management, 132(03), 249–58.

Lee, D and Arditi, D (2006) Automated Statistical Analysis in Stochastic Project Scheduling Simulation. Journal of Construction Engineering and Management, 132(03), 268–77.

Soetanto, R, Dainty, A R, Glass, J and Price, A D (2006) Empirical Evaluation of Structural Frame Performance Criteria: Realizing the Potential of Hybrid Concrete Construction. Journal of Construction Engineering and Management, 132(03), 278–90.

Tang, W, Duffield, C F and Young, D M (2006) Partnering Mechanism in Construction: An Empirical Study on the Chinese Construction Industry. Journal of Construction Engineering and Management, 132(03), 217–29.

Wibowo, A (2006) CAPM-Based Valuation of Financial Government Supports to Infeasible and Risky Private Infrastructure Projects. Journal of Construction Engineering and Management, 132(03), 239–48.

Zhang, H, Li, H and Tam, C M (2006) Particle Swarm Optimization for Preemptive Scheduling under Break and Resource-Constraints. Journal of Construction Engineering and Management, 132(03), 259–67.

  • Type: Journal Article
  • Keywords: Optimization; Scheduling; Construction management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:3(259)
  • Abstract:
    This paper introduces a particle swarm optimization (PSO)-based methodology to implement preemptive scheduling under break and resource-constraints (PSBRC) for construction projects. The PSBRC under study allows the preemptive activities to be interrupted in off-working time and not to resume immediately in the next working period because all the limited resources are to be reallocated during a break. The potential solution to the PSBRC, i.e., a set of priorities deciding the order to start the activities or restart the interrupted activities, is represented by the multidimensional particle position. Hence PSO is applied to search for the optimal schedule for the PSBRC, in which a parallel scheme is adopted to transform the particle-represented priorities to a schedule. Computational analyses are presented to verify the effectiveness of the proposed methodology. This paper provides an attempt to make use of preemption and break for the resource-constrained construction project with the objective of minimizing project duration.