COST-EFFECTIVE STRATEGIES FOR CONSTRUCTION WASTE RECYCLING USING OPTIMIZATION MODELS

Abstract

The rapid growth of the construction industry, driven by large-scale infrastructure projects, has led to increased construction waste, presenting significant environmental and logistical challenges. Managing and recycling this waste is crucial to reduce costs and minimize environmental impacts. Identifying the optimal placement for recycling centers and minimizing associated transportation and processing expenses presents a complex problem due to demand variability and capacity constraints. This study employs a linear programming optimization model to address these challenges by determining the most cost-effective recycling strategies. The model integrates real-time transportation data retrieved through the Google Maps API to enhance accuracy and responsiveness to changing infrastructure conditions, providing a more precise, costefficient solution. The findings highlight the potential for strategically placing recycling centers to reduce overall costs while improving resource management. This linear programming approach offers valuable insights for decision-makers to enhance waste management strategies and promote more sustainable construction practices in rapidly developing regions like Qatar.