PROACTIVE MAINTENANCE PLAN FOR KUTHIRAN TUNNEL USING PRIMAVERA P6
Abstract
The Kuthiran Tunnel, a critical infrastructure component in the challenging terrain of Kerala, India, requires a systematic and proactive maintenance strategy to ensure its structural integrity, operational safety, and long-term functionality. Traditional reactive maintenance approaches are often inadequate for such complex, high-traffic, and environmentally sensitive structures, leading to unexpected failures, prolonged closures, and increased life-cycle costs. This paper proposes a Proactive Maintenance Plan (PMP) developed and scheduled using Primavera P6, a leading enterprise project management software. The plan integrates condition-based monitoring, predictive maintenance triggers, resource-levelled scheduling, and risk-aware activity sequencing to transition from corrective to preventive and predictive maintenance paradigms. Key components include structural health monitoring (SHM) integration, environmental impact considerations, safety compliance milestones, and optimized resource allocation for labour, materials, and equipment. The study demonstrates how Primavera P6 can be utilized to create a dynamic, adaptable, and visually coherent maintenance schedule that accounts for real-time data inputs, seasonal constraints, traffic management requirements, and regulatory inspections. The proposed framework aims to reduce unplanned downtime, extend tunnel lifespan, enhance safety, and optimize maintenance budgets. This research contributes to the field of infrastructure asset management by providing a replicable digital model for large-scale tunnel maintenance in hilly and eco-sensitive regions.
References
National Highways Authority of India. (2022). Tunnel Maintenance Guidelines. New Delhi: NHAI Publications.
Mobley, R. K. (2020). Maintenance Engineering Handbook. New York: McGraw- Hill Education.
Jardine, A. K. S., Lin, D., & Banjevic, D. (2021). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483-1510.
Vachtsevanos, G., Lewis, F. L., Roemer, M., Hess, A., & Wu, B. (2020). Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Hoboken: John Wiley & Sons.
Kumar, U., Galar, D., Parida, A., Stenström, C., & Berges, L. (2021). Maintenance performance metrics: A state-of-the-art review. Journal of Quality in Maintenance Engineering, 19(3), 233-277.
Oracle Corporation. (2023). Primavera P6 Enterprise Project Portfolio Management User's Guide. Redwood Shores: Oracle Press.
Nassar, K., & Hegab, M. Y. (2021). Optimizing construction schedules using Primavera P6: A case study of highway projects. Journal of Construction Engineering and Management, 147(3), 04020184.
Sharma, P., Sharma, A., & Singh, G. (2021). Optimization of construction project timelines using Primavera and machine learning techniques. IEEE Access, 9, 112233- 112245.
Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2021). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. Hoboken: John Wiley & Sons.
Sacks, R., Eastman, C., Lee, G., & Teicholz, P. (2020). BIM for Project Managers. New York: Routledge.
Refbacks
- There are currently no refbacks.