Digitalization and AI-Driven Integrated Maintenance Plan (IMP)
The current Integrated Maintenance Plan (IMP) is managed using Excel-based data sheets, which require extensive manual effort for data analysis, insights generation, and updates. This manual process is inefficient, time-consuming, and limits the ability to generate timely, actionable insights for resource planning, vendor management, and production impact analysis. The complexity and scale of a 10-year maintenance plan—covering multiple sites, manpower, budgets, vendors, and production impacts—make it difficult to optimize maintenance activities and support data-driven decision-making using traditional tools
Expected Outcomes
The project aims to implement an AI-powered digital platform that automates data extraction, analysis, and visualization from the IMP Excel sheets. Expected outcomes include:
- Automated, intelligent insights on manpower, resources, vendor dependencies, and production impacts.
- Predictive analytics for scenario planning (e.g., manpower shortages, project delays).
- Interactive dashboards and customizable reports for management and technical teams.
- Enhanced efficiency, reduced operational costs, improved decision-making, and alignment with ADNOC’s digital transformation strategy
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