TTX Corporation is privately owned by North America’s leading railroads and functions as the industry’s railcar cooperative, operating under pooling authority granted by the Surface Transportation Board. TTX helps railroads meet their customers’ needs by providing, tracking, and maintaining railcars in an efficient, pooled environment. TTX has a complete engineering and design team to care for its large and varied fleet with maintenance operations in terminals across the network.
With a reliable fleet of over 170,000 railcars, TTX is constantly looking for ways to reduce costs associated with the maintenance of their assets and thereby allow them to conserve their capital for other critical infrastructure needs. In evaluating Maximo’s fit at TTX, it was determined that TTX needed a system to manage railcar configuration.
TTX Corporation partnered with Electronic Data, Inc. (EDI) to develop a hybrid, customized solution that combined aspects of the Maximo Transportation Industry solution with the Asset Configuration Manager module in order to provide the traceability, flexibility, and control to effectively manage multiple complex railcar transactions. EDI implemented this highly customized Maximo for Transportation asset lifecycle management solution to drive down TTX’s maintenance costs and improve efficiencies in its maintenance planning, scheduling, and forecasting processes through the analysis of multiple budget scenarios against both unplanned and planned maintenance forecasts for its fleet. The result was a fleet-wide maintenance schedule that minimized maintenance costs and maximized asset reliability. This unique and custom-driven Maximo implementation project involved more than 12 interfaces to major systems, replacement of embedded legacy systems (retiring a mainframe), and organizational and cultural change challenges.
EDI implemented Maximo Enterprise Suite at TTX, which included Maximo Enterprise Asset Management (EAM) as well as Maximo Transportation Manager. The EAM project was centered on replacing an over 20-year-old custom mainframe system in support of Asset Management and Maintenance Planning. The project included the following elements: