Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

There have been numerous efforts to tackle the problem of construction and demolition waste accumulation worldwide unlike the situation in the developing countries and Egypt as well. This study develops a framework for identifying the optimum fleet required for wastes transportation and the most sustainable disposal strategy. Various fleet combinations are assessed against the time needed to transport the wastes, the total cost of transportation, energy consumed along with carbon emissions emitted from this fleet. Multi-objective optimization using non-dominated sorting genetic algorithm (NSGA-II) is performed in order to select the most feasible solutions. Ten types of multi-criteria decision-making techniques are performed in order to rank alternatives obtained from Pareto frontier points. In this regard, two group decision-making techniques are performed in order to aggregate the results obtained from the ten multi-criteria decision-making techniques. Sensitivity analysis is carried out to determine the most sensitive attribute and the most sensitive measure of performance. The research proposed a model for the economic assessment of two construction and demolition waste disposal strategies; landfilling and recycling. It examines the sensitivity of specific economic and environmental parameters and their effect on the selected disposal strategy. The proposed model is validated by examining a case study from the construction sector in new Cairo, Egypt

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