The Last Stop with Greg Winfree: More Reliable, More Resilient — A Supply Chain Is Only as Strong as Its Weakest (Data) Link
FROM VOLUME 57, NUMBER 4 (2021)


FROM VOLUME 57,
NUMBER 4 (2021)
According to the Texas Department of Transportation (TxDOT), some 3.3 billion tons of freight representing $3 trillion were transported in Texas in 2021. Moving those goods generated approximately 40 billion crowd-sourced data points along the way. What, where, when, how and how much are questions with answers found somewhere in the “data log” of every product moving along the global supply chain. This ocean of information — called Big Data — can help us better understand what happens to those products between points A and B and show us how those trips can be made more reliable and efficient.

Port of Los Angeles and Long Beach.
Ever start your car in the morning and your smartphone shows you how long it’ll take to get to work? An algorithm somewhere is analyzing current traffic patterns and calculating your commute. That’s Big Data at work. Applying that same kind of proactive analysis to freight — looking at how efficiently goods are moving in a region — is called freight fluidity.
While TTI didn’t coin the term, we’ve done quite a bit of frontline work with the concept. In 2021, we produced a guidebook for TxDOT on how to implement the concept in Texas (see the related article). We’ve also worked with other states, Transport Canada, the Federal Highway Administration and the U.S. Army Corps of Engineers to apply it. Now, I’d argue, it’s time to implement freight fluidity on a global scale.
