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公式動画＆関連する動画 [Maintenance Operations Workspace Agentic App in Oracle SCM: Demo]
Improve maintenance execution with the Maintenance Operations Workspace in Oracle SCM, which uses specialized AI agents to prioritize actions, reduce execution risk, and keep maintenance plans on track. See how Oracle SCM helps maintenance supervisors manage work orders, asset health, materials, and resources with AI-driven insights at https://social.ora.cl/6005BBLBFJ
This demo shows how the Maintenance Operations Workspace, a Fusion Agentic Application powered by specialized AI agents, helps maintenance supervisors prioritize actions, reduce execution risk, and keep maintenance plans on track. The workspace brings together work orders, asset health, materials, and resource insights into a unified experience that helps operations teams respond faster to emerging maintenance issues and execution constraints.
The demo highlights how AI agents identify overdue and at-risk work orders, recommend which jobs can be rescheduled, and surface which issues require immediate attention to stabilize execution. Maintenance supervisors can adjust technician assignments directly from the workspace to resolve resource constraints and improve schedule adherence. The application also analyzes asset health data to identify predicted failures and anomalies, helping teams convert potential risks into planned corrective work before production is impacted.
The workspace further supports maintenance execution by consolidating priority actions, identifying material shortages affecting scheduled work, and showing the operational impact across items and work orders. Supervisors can review work order cost estimates to better understand financial impact while also monitoring emerging corrective work hotspots and recurring failure patterns. Workspace Insights automatically generates stakeholder communications with relevant asset information, helping teams stay aligned on maintenance priorities and operational risks.
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