Machine Learning in Container Terminals

Machine Learning in Container Terminals

Dr Leonard Heilig and Eduardo Lalla-Ruiz, Uni. of Hamburg

View in full: Machine Learning in Container Terminals
Read the full article

This paper sees Dr Leonard Heilig and Dr Eduardo Lalla-Ruiz of the University of Hamburg articulate the latest breakthroughs in machine learning

With the new opportunities emerging from the current wave of digitalization in all parts of global logistics chains, terminal planning and management need to be revisited with a data-driven perspective. The amount of operational data, such as from a terminal operating system (TOS), together with data from a variety of new data sources, such as sensors and mobile technologies, growing fast, but mostly remains too under-processed or under-analyzed to be of real value. 

Meanwhile, current projects and initiatives in the port industry indicate a growing interest in big data analytics solutions. One example of a big data analytics is the SAFER project of the Maritime and Port Authority of Singapore (MPA) in collaboration with IBM.  Under the project, MPA has piloted three new analytics-based modules to improve management of Singapore's growing vessel traffic. Another example is the Navis ATOM Labs investigating the use of machine learning for the optimization and automation of terminal operations.  In this technical paper, we provide a brief overview of potential applications of machine learning in container terminals and discuss challenges.  

To establish a data-driven perspective on terminal planning and management, we analyzed the current state-of-the-art in academia regarding applications of Machine Learning (ML) in the context of container terminals. In the following, we briefly summarize the scope of those works within the operational areas of a container terminal.


  5G, AI, ML & Exponential Tech      Automation and Optimisation

I already have a Free Member Account

   Remember Me

Lost password?

Free Members Account Registration

Please register for a free members account to access all free content.
Once registered, you will not have to re-enter your details to download free papers.
Please note: You will receive an activation code via email. If you do not receive this email straight away, please check your spam folder.

I would like to:

 
 I consent to Port Technology International collecting and storing my data from this form.
By submitting your details, you are accepting these Terms & Conditions and agreeing to our Privacy and Cookies policies. You can opt out of these communications at any time.

Register for a Full Paid Members Account

Click here to choose from 3 membership packages and access over 1,700 technical papers.

Purchase a Premium Membership


5G, AI, ML & Exponential Tech

PTI EDITION 83

Edition 83 focuses on the technology that will change everything: 5G. All the future technologies depend upon this, including AI, machine learning and many forms of port technology

 Download App  Download App