While traditional AI primarily focuses on making predictions and optimizing processes based on patterns in historical data, ...

QSPC data through Q3 2024 shows that approximately 20.6% of manufacturing plants in the U.S. that failed to produce at their ...

Supply chain dependencies. Manufacturing projects rely heavily ... A good solution can be adopting a hybrid project management model, i.e., combining agile’s flexibility with the structure ...

"We have learned that if you can throw a robot at certain tasks, you can dramatically improve quality, speed and other things ...

As they seek to close the labor gap and use automation to increase productivity, manufacturers are leaning into technology.

Despite advances in artificial intelligence, many manufacturers still rely on traditional methods and outdated equipment, ...

Timothy R. Fiore, who has served as the chair of the Institute for Supply Management’s manufacturing PMI panel since 2017, is ...

The electronics industry is one of those sectors that naturally experience the ongoing pressure to push the supply chain links further away to new locales. However, the highly complicated supply chain ...

Investing in a partnership with a Logistics Service Provider (LSP) can help organizations implement and operate a TMS would ...

A $5 million grant from the National Science Foundation Convergence Accelerator Program will fund a project focused on recycling solar panels and reusing their critical materials.

The "AI in Supply Chain Management Market Size, Share, Trend, Forecast, Competitive Analysis, and Growth Opportunity: 2024-2030" report has been added to ResearchAndMarkets.com's offering.The AI in ...