2008 Data Study 
Logistics Viewpoints
MAY 6, 2021
To see these regulations through, the IMO is aiming to reduce total annual greenhouse emissions by 2050 by at least 50% compared to 2008 [4]. A data capture facility scores the vessel on a variety of different measures, including environmental factors. Operational Considerations.
Freightos
MAY 23, 2024
A similar study from 2018 found the same flaws and dynamic led to poor contract reliability even in much less volatile times. For bulk, the market crash in 2008 was a turning point that pushed its derivatives market to maturity and led to the widespread hedging in bulk today. But this problem isn’t new.
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GlobalTranz
DECEMBER 12, 2014
That may mean reshoring eventually, but according to today’s guest post, we also must look at the hard data before we decree that reshoring is in full form yet. . Reshoring Optimism Abound, However, Let’s Look at the Data Now. Just don’t look at actual data. You’ve probably heard the good news.
Freightos
AUGUST 31, 2016
Both focus on relentless optimization of pricing and routing with powerful, big data technology. Back in 2008, first-year Spanish college students Manel Galindo and Enric Alventosa tested their software skills on the market “as a game”. In an data-driven world, this means more efficient and informed operations.
Logistics Viewpoints
JUNE 28, 2023
In my home state of Massachusetts, which decriminalized small amounts of recreational marijuana in 2008 and fully legalized recreational marijuana in 2019, recreational cannabis prices have plummeted due to a massive shift in supply and demand.
Logistics at MPEPS at UPV
APRIL 15, 2023
In this blog post, it will explored how implementing innovative logistics solutions within universities can lead to significant improvements in resource management, cost savings, and overall sustainability, drawing on academic research, statistical data, and real-world success stories. According to a study by Barth et al. Foxall, G.
Freightos
MAY 10, 2015
Read this if you’re interested in: A great case study of a growing company that thrived on global imports and more efficient internal processes. Freight moved around the world moves so much more efficiently when data moves between supply chain components better.
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