Hybrid approach for resource optimization and management of bridge projects using bootstrap technique and genetic algorithm

Resource management is the key for the success of any construction project. Bridge construction consists of resources which range from simple to complex in nature. Thus, the present research work aims at using bootstrap technique to identify and evaluate the control variables for resource management under uncertainty in bridge construction projects. Also, resource optimization model for bridge project using genetic algorithm is developed. The benefit of using proposed model is to search for an optimum set of resources that will optimize both cost and time, under various constraints related to desired productivity, work conditions, and resource availability limit. Efficient use of project resources will reduce overall construction cost and increase the work productivity. The proposed hybrid approach technique by application of bootstrap technique and genetic algorithm would definitely benefit in resource optimization of ongoing and future bridge projects.