Optimization of Material Transport Routes in Road Construction Projects through Linear Programming

The present study develops a linear programming model for optimizing material transport routes in road construction projects. Taking into account factors such as load capacity, distance, travel time, transportation costs, and environmental restrictions, the aim is to find the optimal solution that minimizes total costs and ensures the timely and sustainable delivery of materials. The research conducts a case study of the Combapata Road in Cusco Peru as an application of the proposed model, from which project data such as unit costs, volume, distances, times, and transport unit speeds were inputted into the developed algorithm. The results reveal a minimum total cost of USD 67, 226.58 per m3, representing an 11.6% reduction compared to the original project cost calculated using traditional methods. This approach demonstrates the effectiveness and potential of linear programming in optimizing infrastructure projects, offering tangible benefits in terms of efficiency and costs.