Lloyd's Register

Development of an Advanced Fleet Management Control System

For Lloyd's Register
Started on June 2023

Summary

Industry: Maritime

Challenge:

Our client sought to enhance their existing shipping fleet operations system, OneOcean, by improving route planning, vessel utilization, and dock scheduling. The goal was to offer their end-users—ship operators—a comprehensive tool to optimize operations and decision-making.

Description

Solution:

We developed an innovative fleet management control system designed to centralize control and streamline operations. The software integrates data from multiple internal and external sources, enabling comprehensive monitoring and management of the entire fleet.

Key Features:

  • Route Optimization: The software allows operators to plan and adjust shipping routes dynamically, optimizing for time and fuel efficiency based on real-time and historical data.
  • Vessel Utilization Monitoring: Advanced algorithms analyze data to maximize vessel usage, reduce downtime, and increase operational throughput.
  • Dock Scheduling Efficiency: The system provides sophisticated tools for scheduling and managing dock operations, helping to avoid congestion and minimize turnaround times.
  • Data Integration: Combines data from various sources, including weather forecasts, port conditions, and logistical updates, to provide a holistic view of fleet operations.
  • Interactive Dashboards and KPIs: Customizable dashboards present key performance indicators and charts, focusing on metrics crucial for efficient fleet management. Decision-makers have access to real-time and predictive analytics to make informed choices.

Outcome:

The control system will drastically improve the operational efficiency of their client's fleet. It enables end-users to significantly enhance route planning, increase vessel utilization, and optimize dock operations.

Technologies Used:

  • Data retrieval: GraphQL
  • Graphs and visualizations: eCharts
  • Frontend: Next.js & React

Technologies used

AWS CDKeChartsNext.jsTypescript

Consultants involved

Francisco LlantadaDaniel Arroyo
v0.5.0 (3cb8c30)