In order to guarantee the security, efficacy, and economy of bridge infrastructure, maintenance scheduling in Bridge Management Systems (BMS) must be optimized. In order to lower total maintenance costs, minimize downtime, and increase resource utilization, this research investigates the use of optimization tools to optimize the scheduling of bridge maintenance tasks. Through the use of sophisticated models like Integer Linear Programming (ILP) and heuristic techniques, the research determines how effective scheduling affects time management, resource allocation, and cost reduction. The findings show that efficient scheduling reduces the time needed for maintenance chores and dramatically cuts maintenance, delay, and emergency repair expenses. Additionally, efficient scheduling reduces bridge outages, which lessens the impact on local economy and traffic. The results emphasize how crucial it is to switch from reactive to proactive maintenance strategies, which not only increase bridge lifetime but also improve overall safety and save costs. This optimization approach may be used as a template for infrastructure management in various geographical areas and is essential for efficient bridge management.
Bridge Management Systems (BMS), Total Maintenance Costs, Minimize Downtime, Increase Utilization
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