Automated Predictive Maintenance (APdM) for Ship-to-Shore Operations

Automated Predictive Maintenance (APdM) transforms traditional maintenance into a data-driven, proactive strategy. The system leverages smart sensors, IoT technologies, and machine learning models to continuously monitor critical ship-to-shore equipment, detect anomalies, and predict failures before they occur.

After implementation, this approach achieved a return exceeding 150 % within the first year, along with significant operational improvements:

• 30 % reduction in unplanned downtime.

• 25 % reduction in maintenance costs.

• 15 % increase in overall operational efficiency.

Key objectives include:

• Lowering operational costs through failure prevention.

• Extending the lifespan of critical assets.

• Improving safety, availability, and overall performance of maritime operations.

This service reflects Anukys’ commitment to digital transformation and energy efficiency in the maritime sector, integrating real-time monitoring and advanced data analytics to optimize ship-to-shore processes.