Studies

Study on the Economic Implications of Maritime Autonomous Surface Ships (MASS)

© Fraunhofer CML

Autonomous ships are coming to stay. This study aims to show the cost structure of an autonomously operated bulk carrier in the baltic sea in comparison to a traditional bulk carrier. Moreover the possible implications on a supply chain using MASS are explored via a sensitivity analysis of inventory costs. This is based on the hypothesis that autonomous ships will facilitate more reliable travel times and higher punctuality compared to manned vessels.

In the study, the authors Julius Küchle, Hannah Pache and Hans-Christoph Burmeister explain the expected cost savings due to MASS on the carrier side as well as the potential value creation in supply chains using these services. Find here the free download of the extended outline of the study.

White Paper "Quantum Computing in Maritime Logistics" published

© Fraunhofer CML

The Fraunhofer CML combines knowledge and experience in maritime logistics, mathematical optimization, and quantum computing, making it the perfect candidate to support businesses in adopting this new technology. Read about new applications in our White Paper!

White Paper "Increasing Maritime Situational Awareness by Augmented Reality Solutions" published

© Fraunhofer CML

The use of augmented reality offers great opportunities to perform maneuvers even more safely and efficiently than before. Read our new white paper to find out what opportunities are opening up and how we support companies in implementing them.

White Paper "Machine Learning in Maritime Logistics" released

© Fraunhofer CML

Exploiting the value of data with machine learning is increasingly important for gaining and maintaining a competitive advantage in all segments of the maritime industry.

At Fraunhofer CML, we have gained experience from numerous projects that use machine learning to optimize processes and systems in the maritime industry. These insights have been consolidated in the White Paper »Machine Learning in Maritime Logistics«.

Starting from basics of AI and machine learning, the White Paper shows important elements for a successful implementation of machine learning in maritime applications. In order to close the gap between theoretical background and a real-world practical use of data-based methods, actual examples of machine learning in maritime logistics are described. Drawing inspiration from these good practices can facilitate the identification of opportunities on a company level.

Order our newest White Paper here (free download).

 

 

White Paper "Ship Operation 4.0" - Navigation aid for the digitalization of ship operation

On board the latest generation of ships, a large amount of data is now collected that maps different functional areas - from the deployment of personnel and cargo to the individual technical components such as propulsion, power supply and auxiliary equipment. As more and more information, measured values and sensor data is collected, the expectations of shipowners, ship managers and the maritime supply industry for an intelligent use of this data increase: Processes should become leaner and more productive, ship operation more efficient, more sustainable and safer. However, it is far less clear today what the necessary prerequisites are for this, with which mechanisms the digitalization of ship operation can create added value and which individual areas of design can be opened up.

Over the past two years, experts from the maritime industry and the scientific community have been working in a group of the Shipbuilding Society e.V. entitled "Ship Operation 4.0" on the question of what value-adding use of digital data could look like in the future in order to increase the profitability of ship operation and further develop ship management functions on board and ashore. The findings obtained are summarised in the form of solution approaches, fields of action and technology trends in the white paper "Ship Operation 4.0" and can serve the maritime industry as a navigation aid for the data-based increase in efficiency of ship operation. The white paper "Ship Operation 4.0" has been published by Fraunhofer-Verlag and can be obtained by interested parties for a nominal fee.