Optimum Maintenance and Rehabilitation Decision Making Considering Delay Effects for Airport Pavement Management

10.6135/ijprt.org.tw/2013.6(5).602

Jian-Ming Ling；Zeng-Ming Du；Jie Yuan

Air traffic delay ； Chance-constrained programming ； Pavement maintenance and rehabilitation ； Pavement management ； Simulation Optimization

International Journal of Pavement Research and Technology

6卷5期（2013 / 09 / 01）

602 - 611

英文

A chance-constrained programming methodology, considering delay effects, is proposed to find maintenance and rehabilitation (M&R) polices for airport pavement management under parameters uncertainty. This is accomplished with a Monte Carlo (MC) simulation-based genetic algorithm (GA) approach. MC is used to tackle the probabilities of object function and constraints while GA is used to obtain an optimization sequence. Delay cost (CD) is integrated in M&R decision models. A case study is presented. It is shown that chance-constrained programming is more reliable than the expected value model. Optimum refurbishment timing and delay effects on M&R policies are also investigated.