Multi-Objective Optimization Model for Non-Suspending Runway Reconstruction Project Scheduling in Busy Airports

Abstract:

As a result of the urgency of runway reconstruction and the inevitability of taking non-suspending reconstruction, time, cost and quality are taken as three basic objectives of the optimization with the complex environment of the runway, and the special related constraints are taken into consideration as well. Combining the other two objectives with the time objective and quantifying three objectives in the same way help to present the multi-objective model that is based on the multi-attribute utility function theory. Establishing the project network of asphalt repaving project and using the critical path method contribute to dealing with the uncertainty and randomness based on the distribution of process time by the three-point estimation method. Particle swarm optimization (PSO) algorithm helps solve the model and offers a scheduling plan of the critical path. In the end, one non-suspending the construction project of the runway is taken as an example and it proves the validity of the model compared with the related researches and the actual applied schedule.

• Periodical: Applied Mechanics and Materials (Volumes 587-589)
• Pages: 1884-1887
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.587-589.1884
• Online since: July 2014
• Authors: Yu Lin Yang*, Zheng Hao Ma
• Keywords: Critical Path, Multi-Objective Optimization (MOP), Non-Suspending, Particle Swarm Optimization (PSO), Project Scheduling, Runway Reconstruction

References

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DOI: 10.1061/(asce)0733-9364(2005)131:4(477)

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