Asset Reliability & Uptime Engine
Target Audience: Director of Asset Management, Plant Manager
Core Value: CapEx Protection & Machine Uptime
The Problem: The "Run-to-Failure" Trap
Reactive maintenance turns minor repairs into major overhauls and idles expensive labor and production. Critical knowledge (manuals, schematics) is often trapped in physical binders, causing hours of delay.
The Solution: A Digital Nervous System for the Fleet
I Architected an Asset Reliability & Uptime Engine that moves maintenance from "Ghost Schedules" to automated, algorithmic cycles. It acts as a digital twin registry for the physical fleet, enforcing preventative care.
The Commercial ROI
Downtime Reduction: Increased machine uptime by 15-20% by catching wear early.
Asset Longevity: Maximized resale value and useful life through documented maintenance history.
Accountability: Eliminated "Ghost Maintenance" with precise, timestamped technician logs.
Technical Architecture
Digital Twin Registry: Stored critical metadata (manual URLs, schematics) in Firestore, accessible instantly via iPad at the point of failure.
Algorithmic Health: Computed real-time fleet health scores (assets.length - openWoAssetIds.size) to visualize fleet status instantly.
State-Driven Execution: Transformed paper checklists into interactive, stateful boolean arrays, creating a digital audit trail for every repair.