Bradd C. Hayes is the active editor of this blog.
Some logistics professionals may long for the good old days when the last mile challenge primarily involved getting goods to a store. It was generally the customer’s problem to get the goods
Disruptions to supply chain operations are inevitable. Over the years I’ve read a lot of articles discussing the kind of toolkit supply chain risk managers need to deal with those disruptions. Although
Big data is big business. A study by Hexa Reports concludes, “In 2017, ‘Big Data’ vendors will pocket over $57 Billion from hardware, software and professional services revenues. These investments are further
There is little argument that a nation’s future relies in no small part on how well it educates its children. There is also little argument that the future is going involve a
Most business experts insist (and most corporate leaders believe) developing a culture of innovation is essential for long-term success. They also know successfully doing so is difficult because there exists a natural
To say it’s been a bad year for traditional brick-and-mortar stores is to understate the situation. Suzanne Kapner (@SuzanneKapner) reports, “American retailers are closing stores at a record pace this year as
Time and again you read articles about the need for any organization founded on industrial age principles to transform into a digital enterprise. There are numerous reasons pundits insist digital transformation is
An increasing number of supply chain analysts are stressing the importance of creating a data-driven supply chain (aka a digital supply chain). “The amount of information and improvement possible through big data
“The reason why we think about and talk about smart cities,” former U.S. Transportation Secretary Anthony Foxx (@SecretaryFoxx), told an audience, “is because we recognize that we don’t have infinite resources, and
“We need to discuss how smart computers might affect the workplace and ensure that everyone enjoys the benefits,” writes Peter Donnelly, a professor of statistical science at University of Oxford.[1] The big
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