摘要: |
This research considers how urban rail transit agencies can leverage data in their maintenance management systems to build asset inventories for higher-level analysis to optimize investments in capital assets. This project will define what data are needed for an asset inventory (e.g., asset type and quantity, age, remaining useful life, and replacement or renewal costs) and recommend standardized common language and definition for describing transit assets. It will explore how data in maintenance management systems can be used to build asset inventories for higher-level analysis, such as capital asset management, and how maintenance and life-cycle data can be used to infer condition of assets for purposes of informing reinvestment strategies. This project will investigate the potential to integrate existing maintenance management systems with higher-level asset management inventories in conjunction with an urban transit rail system. The project team will work closely with St. Louis Metro's management and personnel to gain a more informed perspective on how data are used in the maintenance activity of the agency's assets. Products will include a data flow chart, requirements for tools to support the capital budgeting and asset replacement process, and a final report. |