SVCW required a unified solution to bridge the gap between CIP lifecycle management and asset management. The goal was to create a centralized system that integrates financials, project management, asset data, and O&M workflows. The solution needed to provide real-time insights and proactive AI capabilities to help engineering and O&M teams make data-driven decisions. Additionally, it was crucial to enable augmented reality tools for preventative and corrective maintenance tasks, ensuring seamless collaboration across departments while meeting regulatory compliance.
Nexinite implemented a comprehensive Equipment Information Management System (EIMS) that transformed how SVCW manages assets and CIP planning. The solution unified financials, project management, and O&M activities into a single platform, emphasizing the lifecycle of assets. Key components included:
Asset Lifecycle Management:
Centralized all asset data from creation (design phase) to operation and maintenance, enabling seamless transitions between engineering, O&M, and financial teams.
Preventative and Corrective Maintenance:
Introduced scheduling tools and augmented reality (AR) for maintenance tasks, ensuring compliance with manufacturer guidelines and warranty conditions.
AI-Driven Insights:
Integrated AI agents to monitor conditions such as increasing corrective maintenance or end-of-life assets, proactively notifying engineering and O&M teams of potential risks.
CIP Planning Integration:
Leveraged O&M data to inform CIP project planning, ensuring alignment with plant performance data and enabling better budget forecasting.
Process Area Management:
Organized individual assets into process areas, creating a functional hierarchy that aligns with utility operations.
Bi-Directional Flow:
Established a feedback loop between financials, engineering, and O&M for CIP planning, asset creation, and asset data management.
Streamlined Workflows: Engineering, O&M, and financial teams now operate cohesively within a unified system, reducing delays and miscommunication.
Proactive Maintenance: AI-driven agents provide real-time notifications for proactive decision-making, reducing unplanned maintenance by 40%.
Enhanced CIP Planning: Asset data directly informs CIP planning, resulting in more accurate budget forecasts and lifecycle assessments.
Increased Efficiency: Maintenance schedules aligned with AR tools and automated workflows saved SVCW an estimated 20% in operational costs.
Data Transparency: Centralized data eliminates silos, improving transparency and enabling cross-department collaboration.
By implementing a unified EIMS, SVCW now operates with a fully integrated approach to CIP lifecycle and asset management, enabling proactive, data-driven decision-making while reducing costs and improving operational efficiency.
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