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Going Green with AI An Innovative Look into Intermodal Rail

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Author(s): Alex Van Winckel, Dr. Eva Savelsberg, and Matthew Wittemeier, INFORM, Aachen, Germany

Artificial Intelligence (AI) is seemingly popping up everywhere these days. As a niche AI system provider, INFORM has been delivering AI solutions for just over two decades, and we have found that within the maritime sector, optimization modules deliver value across terminals. This is because as decision-making is improved, efficiency is realized across the terminal in both the short- and long-term. Short-term savings often translate directly to the bottom line. Efficiencies such as reductions in vehicle travel, crane travel, and yard re-handles are the easiest to see and calculate. Long-term savings, as well as potential revenue increases, can be harder to see initially, however.

Reductions in overall handling equipment as well as delaying or avoiding new equipment purchases happen slowly as operators adjust operational procedures to maximize the efficiency gains possible. Furthermore, increasing yard, truck, and rail handling capacities are intangible results that are the byproducts of more efficient terminals. All of these long-term outcomes deliver significant value, and through these activities, there are also strong environmental sustainability outcomes that can be achieved simultaneously. This paper focuses on one optimization module, INFORM’s Train Load Optimizer, and forms a case study for how strong optimization can deliver cost savings while also improving environmental performance.


Featured in the Edition:

Innovative Container Handling

PTI Edition 90 • Digital Only
Welcome to Edition 90, which has a special focus on innovations within container handling. This edition sees four key companies outline the cutting-edge thinking in this area, with it being of especial note that sustainability and environmental awareness formed a key theme in many of the papers. In fact, it is the core theme of some papers.



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