Ship-To-Shore Crane Operation Case Study

Improving Ship-To-Shore Operations through APdM

Automated Predictive Maintenance (APdM) is a system designed to transform the maintenance strategy from reactive to proactive, implemented by SORBA.ai. This system leverages advanced sensors, Internet of Things (IoT) technology, and machine learning algorithms to continuously monitors critical equipment across operations, predicting failures before they occur.

Upon successful implementation, this project recouped over 150% ROI within the first year PLUS:

• 30% reduction in unscheduled downtime
• 25% decrease in maintenance costs
• 15% increase in overall operational efficiency

Key objectives:

• Reduce maintenance costs by preventing unscheduled downtimes
• Extend the lifespan of vital equipment
• Enhance overall operational safety and efficiency