Decision support models for annual catenary maintenance task identification and assignment
Journal
Transportation Research Part E: Logistics and Transportation Review
Journal Volume
152
Date Issued
2021
Author(s)
Abstract
A well-maintained catenary system is crucial to efficient and safe railway operations. Schedule catenary maintenance tasks with consideration of reliability and cost is vital for annual maintenance planning. Since past research on catenary maintenance planning mainly adopt the preventive maintenance (PM) policy with fixed maintenance intervals, this study considers practical concerns of railway operators and applies predictive maintenance (PdM) policy in the annual catenary maintenance planning. A decision support model is proposed by using both mixed integer programming and heuristic methods to identify and assign catenary maintenance tasks with the objective of minimizing maintenance cost and labor cost. The numerical results show that the cost can be improved by 25% compared to the current PM-only practice. The proposed model assists planners to determine and schedule maintenance tasks effectively and ensures the required reliability. ? 2021 Elsevier Ltd
Subjects
Annual maintenance planning
Catenary
Mixed integer programming
Predictive maintenance
Rail transportation
Rule-based heuristic algorithm
algorithm
decision support system
maintenance
railway transport
transportation policy
Type
journal article