In the high-stakes world of maritime shipping, equipment failure isn’t just an inconvenience—it’s a massive financial leak. Traditional Failure Mode and Effects Analysis (FMEA) has long been the gold standard for reliability, but it is often manual, reactive, and buried in spreadsheets.

We’ve partnered with a leading shipping company, MISC Marine, to turn this around. By leveraging EigenAI, we developed a suite of four specialized dashboards that transform raw maintenance data into a proactive reliability strategy.

1. Failure Analysis: Identifying the “Bad Actors”

The first step in reducing downtime is understanding your fleet’s baseline. This dashboard acts as the strategic “command center” for reliability engineers.

• Equipment Failure Rate Analysis: Monitor how often critical systems are going offline.
• MTBF (Mean Time Between Failure): Automatically calculate the reliability window for every asset.
• Bad Actor Identification: Pinpoint the specific 20% of equipment causing 80% of your headaches.
• Standard Job Optimizations: Use data to refine maintenance tasks, ensuring technicians focus on what actually matters.

2. Failure Components: The Power of LLMs in the Engine Room

One of the biggest hurdles in shipping is the quality of data. Maintenance logs are often messy, handwritten, or brief notes like “Pump stopped working, fixed seal.” To solve this, we integrated a Large Language Model (LLM) that processes technician descriptions in real-time.

• Natural Language Processing: The LLM reads the technician’s report and extracts the exact failed component (e.g., “O-ring,” “Bearing,” “Fuel Injector”).
• Statistical Breakdowns: Once the data is structured, the dashboard visualizes trends, showing you exactly which components are your weakest links across the entire fleet.
• Data Processing Tools: Convert thousands of messy logs into clean, actionable insights in seconds.

3. Ship Hierarchy: Navigating Complex Assets

Modern vessels are incredibly complex. Finding a specific piece of equipment within a massive ship hierarchy shouldn’t be like finding a needle in a haystack.

• Tree Navigation: A seamless, interactive breakdown of the ship’s systems.
• SFI Code Mapping: We’ve mapped equipment to standard SFI codes, ensuring industry compliance and easy searchability.
• Vessel Selection: Using a simple drop-down, users can drill down from an entire fleet to a specific pump on a specific deck in three clicks.

4. Probable Maintenance-Induced Failures: The Proactive Edge

Perhaps the most innovative part of the app is identifying Maintenance-Induced Failures (MIF). Sometimes, the very act of “fixing” an item can lead to a premature failure due to improper installation or human error.

• Post-Maintenance Analysis: This dashboard tracks how often an equipment fails shortly after a scheduled maintenance event.
• Timeline Analysis: Visualize the correlation between service dates and subsequent breakdowns.
• Root Cause Insights: By identifying these patterns, companies can determine if a specific crew needs more training or if a standard procedure needs to be rewritten to prevent “fixing it until it breaks.”

The Result: A More Resilient Fleet

By moving from reactive repairs to an AI-powered FMEA approach, shipping companies can significantly reduce their OpEx and extend the life of their most expensive assets.

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