https://www.springer.com/journal/10696
Special Issue on Data-driven optimization and analytics for maritime
logistics
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New Submission Deadline: October 31, 2021
Like many other industries, maritime logistics is more and more driven by
optimization and analytics to make the best out of the wealth of data that
is generated through modern technologies. This opens up lots of research
questions in areas such as the operations management of autonomous ships
and port equipment, a better understanding of markets through the analysis
of demands and price data, new forms of collaborations and many more.
Emerging innovations can support all kinds of actors from the maritime
logistics industry in making better decisions, reaching higher levels of
performance, becoming more sustainable and, eventually, improving their
competitiveness. Research has to support and advance this by the
development of novel models and algorithms for analyzing the available data
and using it to provide valuable decision support.
This special issue of the Flexible Services and Manufacturing (FSM) Journal
aims to address challenges and explore the opportunities related to
maritime logistics from such perspectives. We are especially seeking papers
introducing new concepts, defining new problems, and developing new
methodologies and models to exploit the wealth of data generated by the
maritime logistics industry.
The special issue includes, but is not limited to, the following topics.
• Analytics in maritime logistics systems, especially predictive and
prescriptive analytics
• Data science and engineering, cloud technologies in maritime logistics
systems
• Optimization modeling and simulation analysis of maritime logistics
systems
• Robust optimization in maritime logistics systems
• Performance measures and efficiency analysis in maritime logistics systems
• Scheduling in maritime logistics systems
• Automation in port operations
• Terminal design and operations
• Real-time control of logistics activities in container terminals
• Stowage planning in maritime transportation
• Multimodal transportation systems
• Onshore transportation of containers
• Design of maritime transportation networks
• Freight rates and markets
• Carrier alliances and collaborative logistics
• Ship routing and fleet management
• Empty container management
• Autonomous ship operations
• Shipping maintenance and warehouse services
• Shipping revenue management
• Risk and resilience in maritime transportation
• Environmental and sustainability issues in maritime transportation
• Theoretical and/or empirical analysis of data-driven applications in
maritime transportation
Submission Guidelines:
Papers must clearly address research issues of logistics and maritime
transportation chains. Please submit your paper online via
http://www.editorialmanager.com/flex/ and select "Data-driven optimization
and analytics for maritime logistics" when being asked for additional
information. The target print publication date is December 2022.
The submitted papers must not have been previously published or be
currently under consideration for publication elsewhere. All papers will be
reviewed according to the standards of the FSM journal. We will adopt a
rapid and fair review process in order to meet the target publication date.
Please feel free to contact the editors with any questions.
Special issue editors:
Prof. Dr. Kjetil Fagerholt, Norwegian University of Science and Technology,
Norway
Email: kjetil.fagerholt@iot.ntnu.no
Dr. Leonard Heilig, University of Hamburg, Germany
Email: leonard.heilig@uni-hamburg.de
Dr. Eduardo Lalla-Ruiz University of Twente
Email: e.a.lalla@utwente.nl
Prof. Dr. Frank Meisel, Kiel University, Germany (leading editor)
Email: meisel@bwl.uni-kiel.de
Dr Shuaian (Hans) Wang, The Hong Kong Polytechnic University, Hong Kong
Email: wangshuaian@gmail.com
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