Analysing the Impact of Linear Scheduling Methods on Time and Cost Efficiency in Roadwork Projects

Efficient scheduling is critical in roadwork projects to meet the dual objectives of time and cost optimization. Traditional methods such as Critical Path Method (CPM) and Program Evaluation Review Technique (PERT) have demonstrated limitations in handling the sequential and spatial nature of linear projects like road construction. This research investigates the application of Linear Scheduling Methods (LSM) in enhancing project efficiency, focusing on its impact on time and cost management. Using a mixed-method approach, the study analyzes real-world data from a recently completed highway project in Tamil Nadu, India, and employs simulation models to evaluate production rates and buffer distances. The findings highlight significant reductions in project delays and cost overruns through streamlined resource allocation and activity synchronization using LSM. However, challenges such as limited technical expertise and resistance to adoption persist. Recommendations include integrating advanced technologies like artificial intelligence and predictive analytics to further enhance LSM capabilities. This study underscores the potential of LSM to revolutionize project management in road infrastructure, offering scalable solutions for global applications.