Japanese shipping giant NYK has implemented a new artificial intelligence system to manage the complex scheduling of its global car carrier fleet. Developed in collaboration with MTI and Grid Co., the system automates and optimizes vessel allocation, a task that was previously a significant logistical challenge.
The platform, which began full-scale operations in July, is designed to enhance efficiency, reduce operational costs, and lower greenhouse gas emissions across NYK's fleet of more than 100 vessels, the largest of its kind in the world.
Key Takeaways
- NYK, MTI, and Grid Co. have launched an AI-powered system for car carrier allocation.
- The system automates a highly complex planning process for NYK's fleet of over 100 ships.
- It can generate an optimal shipping schedule in approximately 10 minutes by analyzing millions of possibilities.
- The technology aims to improve vessel utilization, reduce costs, and support environmental goals by cutting emissions.
Addressing a Complex Logistical Challenge
For decades, ship allocation planning in the maritime industry has been an extremely complex and labor-intensive task. Planners at companies like NYK were responsible for manually evaluating hundreds of voyages several months in advance.
This process required balancing numerous variables, including customer shipping demands, the operational status of each vessel, scheduled maintenance and repairs, and potential risks like port congestion. The sheer volume of data made finding the truly optimal schedule a monumental undertaking.
NYK sought a technological solution to streamline this process. The goal was to create a system that could not only handle the vast amount of data but also improve the accuracy and overall efficiency of its scheduling decisions.
The Scale of NYK's Operations
Nippon Yusen Kaisha (NYK) is one of the world's oldest and largest shipping companies. Its car carrier division operates a fleet of over 100 specialized vessels, transporting vehicles for major automotive manufacturers across the globe. Efficiently managing this fleet is critical to both the company's profitability and the stability of the global automotive supply chain.
How the AI System Works
The newly developed system leverages artificial intelligence to transform the scheduling process. Instead of relying on manual calculations and experience-based decisions, the platform automates the evaluation of millions of potential shipping plans.
After inputting all relevant data, the system analyzes a vast array of factors simultaneously. These include:
- Specific customer requirements for vehicle transport.
- The current operating status and location of every vessel in the fleet.
- Pre-scheduled dry-docking and repair timelines for each ship.
- Data-driven predictions of port congestion and potential delays.
By processing these variables, the AI can generate a comprehensive and optimized allocation plan for the upcoming months. According to the development partners, this entire process takes approximately 10 minutes to complete, a fraction of the time required for manual planning.
Processing Power and Speed
The system's ability to evaluate millions of potential schedules in just 10 minutes represents a significant leap in planning capability. This speed allows for more agile and responsive adjustments to changing market conditions.
Optimizing for Performance and Sustainability
The primary objective of the AI system is to improve key performance indicators (KPIs) that are crucial to the shipping business. By finding the most efficient routes and schedules, the platform directly targets improvements in vessel utilization, ensuring that ships spend less time idle and more time generating revenue.
Driving Economic Efficiency
Improved transport efficiency and reduced overall transport costs are major benefits. The AI can identify opportunities for consolidation and optimal routing that might be missed in manual planning, leading to significant fuel savings and operational cost reductions.
This efficiency gain is critical in an industry with tight margins and high operational expenses. By organizing and structuring the vast amount of decision-making data, the system provides a clear, data-backed foundation for all allocation plans.
A Focus on Environmental Responsibility
Beyond financial metrics, the system is engineered to support NYK's environmental goals. It integrates considerations for the use of next-generation, lower-emission fuels and incorporates the financial impact of carbon pricing into its calculations.
By optimizing routes and vessel usage, the system is expected to contribute to a reduction in greenhouse gas (GHG) emissions across the fleet. This aligns with the broader maritime industry's push toward decarbonization.
This feature allows NYK to make scheduling decisions that are not only economically sound but also environmentally responsible. As global emissions regulations become stricter, such capabilities will become increasingly vital for maintaining a competitive edge.
The Partnership Behind the Innovation
This advanced system is the result of a joint development effort between three specialized entities. NYK provided the deep industry knowledge and operational requirements as the end-user. MTI Co., Ltd., an NYK Group company, contributed its expertise in maritime technology research and development.
Grid Co., Ltd., a technology firm specializing in AI and optimization algorithms, provided the core technical platform. This collaboration combined practical shipping industry experience with cutting-edge artificial intelligence to create a tool tailored specifically for the challenges of car carrier logistics.
The successful launch of this system marks a significant step in the digital transformation of the shipping industry, demonstrating how AI can be applied to solve long-standing and complex operational problems.
