{"id":73556,"date":"2026-10-20T21:10:12","date_gmt":"2026-10-20T21:10:12","guid":{"rendered":"https:\/\/www.oxfordcorp.com\/?p=73556"},"modified":"2026-10-20T21:10:12","modified_gmt":"2026-10-20T21:10:12","slug":"a-cloud-foundation-for-predictive-maintenance","status":"publish","type":"post","link":"https:\/\/www.oxfordcorp.com\/fr\/insights\/case-study\/a-cloud-foundation-for-predictive-maintenance\/","title":{"rendered":"A Cloud Foundation for Predictive Maintenance"},"content":{"rendered":"
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INDUSTRY<\/strong><\/p>\n

Pharmaceutical<\/p>\n

SERVICES<\/strong><\/p>\n

Predictive and Preventative Maintenance<\/p>\n

SKILLS<\/strong><\/p>\n

IBM Maximo
\nRed Hat OpenShift
\nKubernetes
\nAWS
\nEdge Gateways
\nIoT Sensors<\/p>\n<\/div>\n

 <\/p>\n

Situation<\/b><\/p>\n

Our client, a global pharmaceutical organization, was transitioning from a legacy, on premise system to a modernized Computerized Maintenance Management System. They were facing significant hardware costs and technical skill gaps, so the move to a cloud-based architecture was tantamount to their success. The project scope included migrating multiple international manufacturing sites into a unified Industry 4.0 framework, thus laying the foundation for a scalable predictive maintenance program and enabling advance data analytics and real-time asset health monitoring.<\/p>\n

Solution<\/b>
\n<\/b><\/p>\n

Specifically, the client wanted to achieve the following:<\/p>\n