Advance Analytics in Maritime Systems
We plan to invite good papers to submit to a special issue, “Special Issue on Advance Analytics in
Maritime Systems” in Asia-Pacific Journal of Operational Research. This special issue is devoted to publishing the latest significant
results related to advance analytics in maritime systems, i.e., state-of-the-art research at the intersection of analytical methodologies
and maritime systems as well as their operations.
With the recovering of the global economy, the maritime industry is facing new challenges: with the increasing demands on financial and operation efficiency, maritime digitalization has become the roadmap of future maritime systems. In recent years, the development of the emerging technologies, such as high performance computing, internet-of-things, artificial intelligence, is offering new opportunities for the maritime industry to renovate, from operation to management.
To support the maritime digitalization, it is exciting to look into the maritime problems with advance analytics, for example, how to apply machine learning to assist shipping line stowage planning, apply simulation and optimization to develop the digital twin of maritime eco-systems, and use data analytics to improve the operation efficiency between sea, port and land, etc. In this special issue, we expect the authors to explore practical maritime problems with advance analytics, including but not limited to data analytics, machine learning, simulation and optimization.
This special issue is devoted to publishing the latest significant results related to advance analytics in maritime systems, i.e., state-of-the-art research at the intersection of analytical methodologies and maritime systems as well as their operations. Potential topics include, but are not limited to
New approach for predicting customer demand for containers in port.
Risk analysis in maritime system
Data analysis and predictive approach for improving safety in the maritime industry
Sustainable port operation management and optimization
Green shipping management and optimization
Analysis on new green technologies adoption for port operators and liners
Blockchain in maritime: an industry-wide maritime blockchain system
Route optimization and logistic complexities site selection for emerging logistics
Interface between maritime management and other analytical methodologies
Before submission, authors should carefully read over the journal's "Instructions for Authors". The review process will follow the journal's practice. Prospective authors should submit an electronic copy of their complete manuscript via the manuscript submission system, according to the following timetable:
Manuscript Due: Nov 30, 2019
First Round of Reviews: Jan 31, 2020
Publication Date: June 30, 2020
, Professor, School of Management, Shanghai University, China; firstname.lastname@example.org
, Associate Professor, Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, China; email@example.com
, Associate Professor, College of Economics and Management Nanjing University of Aeronautics and Astronautics, China; firstname.lastname@example.org
, Research Assistant Professor, Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore; email@example.com
, Research Assistant Professor, Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore; firstname.lastname@example.org