CASE STUDY - DIGITAL OPERATIONS ANALYTICS ENABLES PREDICTIVE MAINTENANCE FOR A MAJOR RAILROAD COMPANY

Client Situation - Maintaining a service like railroads needs proper engineering planning and execution. The show has to go on regardless of maintenance or showdowns. In this context, the client had manual operations and maintenance model that cost them time and effort. This greatly reduced their efficiency and spontaneity to deliver flawless services day after day. Over the last 150 years, the client ran their engineering and maintenance operations manually had all their processes manually driven. Though this approach helped them until a few years ago, but it began to expose inefficiencies and drawbacks while servicing current day demands. Rising demand for stability and agility made them consider modernizing their operations through adoption of IoT and analytics. This was expected to give them the much-needed stability to thrive and continue providing seamless services. It was also expected that this would make monitoring operations easier, faster and safer.

About Client - The client is a 150-year-old global company dealing with railroad equipment like locomotives, freight cars, and
passenger transit vehicles. The client manufactures rail braking systems, air-con systems, and rolling stock
components.

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