Effective equipment management is critical to minimizing delays in road construction projects. This study comprehensively examines the impact of improper equipment management, identifying key challenges such as inadequate planning, procurement delays, misallocation, poor coordination, and lack of maintenance. Using the Relative Importance Index (RII), procurement delays (RII = 0.78), poor coordination (RII = 0.73), and maintenance issues (RII = 0.72) were found to be the most critical delay factors. These findings were further validated through the Analytic Hierarchy Process (AHP) confirming the strong correlation between equipment management inefficiencies and project delays. To mitigate these challenges, the study recommends comprehensive equipment planning, digital tracking systems, efficient procurement strategies, improved coordination, and preventive maintenance programs. Implementing these measures can enhance operational efficiency, reduce costs, and ensure timely project completion. The findings provide valuable insights for policymakers, project managers, and industry stakeholders, offering a framework for optimizing equipment management in road construction, ultimately leading to more sustainable and cost-effective infrastructure development.
Introduction
Road construction projects are essential for economic growth, but they often suffer from delays, with improper equipment management identified as a major cause. Inefficiencies such as poor planning, inadequate maintenance, misallocation, weak logistics, and operator shortages lead to cost overruns and schedule disruptions, especially in large infrastructure projects like highways in India.
The literature review highlights that while techniques like Monte Carlo Simulation, AHP, and RII help analyze delays and risks, common causes repeatedly include material shortages, poor coordination, financial issues, environmental constraints, and lack of proper planning. However, most studies focus on isolated factors rather than a unified view of equipment management’s overall impact.
A case study of the Kagal–Satara National Highway (NH-48) shows real-world delays in a major six-lane upgrade project, reflecting these systemic issues. A questionnaire survey was used to evaluate how different equipment-related factors contribute to delays across planning, allocation, maintenance, availability, logistics, training, and external conditions.
Statistical analysis using the Relative Importance Index (RII) identifies inadequate equipment planning, procurement delays, and equipment misallocation as the most critical causes of delays. Moderately important factors include breakdowns, lack of maintenance, and equipment shortages, while external factors like weather and regulations are less significant.
Overall, the study concludes that improving equipment planning, procurement systems, coordination, and maintenance practices can significantly reduce delays and improve the efficiency of road construction projects.
Conclusion
This study analyzed the impact of improper equipment management on road construction delays, identifying key issues such as procurement delays (RII = 0.78), poor coordination (RII = 0.73), and lack of maintenance (RII = 0.72). Using RII & AHP the research confirmed that addressing these factors significantly improves project efficiency. Recommended solutions include advanced equipment planning, digital tracking, efficient procurement, better coordination, and regular maintenance. Implementing these strategies can enhance efficiency, reduce costs, and ensure timely project completion. Additionally, fostering collaboration among stakeholders and adopting modern construction technologies can further optimize resource utilization. This research provides a framework for improving equipment management, ultimately contributing to more sustainable and cost-effective road infrastructure development. The findings and conclusions of this study are limited to the Kagal-Karad Highway Widening Project in Maharashtra, India and may not be universally applicable to other projects due to variations in geographical conditions, project characteristics, and operational circumstances
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