WELCOME TO PORT LOGISTICS BLOG

Recently, 5G technology has reshaped the political landscape globally and within the EU. In Germany, several providers vie for a transformative contract that'll influence markets for years. This spotlight on 5G prompts a look at its potential in ports and container terminals. It's vital not just for emerging IoT standards in the container sector but also to understand challenges for terminals with conventional operations.

In today's #stayathome era, businesses grapple with immediate challenges and potential post-crisis shifts. Will we return to normal or reevaluate strategies? The global logistics sector may require new approaches. Supply chains, crucial in goods delivery, show vulnerabilities, especially in just-in-time models. Localized Corona impacts could still ripple globally.

Digitalization's impact ohn ports' future: Current data exchange in maritime logistics highlights that ICT use isn't new to ports. Yet, experts anticipate a transformative shift in ports' role in future supply chains. Terms like "smart" dominate strategic talks among market leaders. What's the impending change?

The Institute of Shipping Economics and Logistics (ISL) offers a position paper about CO2-neutral shipping – in the field of tension between technical possibilities, ecological reason as well as economic and political interests. What contribution can LNG make to reducing greenhouse gas emissions from shipping? What further measures are needed to realise the vision of “zero emissions by 2050”?

Terminal operators face pressures from global carriers and economic uncertainty. How will terminals adapt short-term and beyond? If growth resumes, do we need new or enhanced terminals? Amid recession risks, how can we boost efficiency? Ongoing negotiations strain revenues, emphasizing cost concerns.

This article introduces the “LAVIS” project, aiming to forecast sea port cargo availability. Managed by ISL and AKQUINET, the short-term study is supported by Germany's mFund. LAVIS aims to improve cargo prediction at terminals, optimizing loading and transport. The project explores prediction methods and needed data.