Demand Forecasting of Highway Construction Materials Using Machine Learning Model

The global construction sector stands at a crucial juncture, necessitating eco-conscious practices to minimize environmental impact and enhance resource efficiency, with highway construction playing a significant role. In the Indian context, the urgency to adopt sustainable supply chain management practices in highway construction is pronounced, given the country’s vast infrastructure projects and environmental challenges. India’s ambitious infrastructure goals necessitate innovative approaches to ensure sustainability and resilience in highway construction projects. This study explores integrating sustainable supply chain management into highway construction, focusing on material demand forecasting. Leveraging machine learning techniques, specifically random forest regression, the research aims to transform material demand forecasting in highway construction, addressing issues such as overstocking and stockouts. By providing stakeholders with valuable insights into material demand forecasting, the study seeks to contribute to the timely completion and sustainable development of highway infrastructure projects, fostering environmentally conscious and resilient transportation networks worldwide.