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Mitigating Ship Delay Impacts on Stacking Operations: A Data Analytics Solution

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Author(s): Dr Amir Gharehgozli, David Nazarian College of Business and Economics, California State University, USA

The confluence of the availability of incredible amounts of data, methodological developments, the explosion in computing power and storage capacity have given rise to the popularity of “data analytics” in many industries.

Many companies are now aggressively inviting in data analytics tools to generate insights that can help them make well informed business decisions. The maritime industry, although somewhat behind other sectors, has also begun to take advantage of data analytics to aid the smooth running of the global supply chain.

In automated container terminals with a turnover of hundreds of thousands of TEUs (twenty-foot equivalent units), data analytics can make a significant impact on stacking operations, especially in the era of mega-containerships and sudden changes in the container flow due to various events (e.g. weather, strikes, and so forth).  

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PTI Edition 89 • Digital & Print
This edition of the Journal of Ports & Terminals acts as a precursor to the Smart Digital Ports of the Future Conference in Rotterdam from the 4-6 of November. The edition features the world-leading smart ports offering an insight into their operations, globally renowned supply chain academics writing on core smart port and supply chain issues, and a host of pioneering solution providers articulating their vision for the future of ports.

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