Semiconductor supply chains are among the most complex and globally distributed in the world. These highly specialized networks involve intricate processes, multiple geographies and deep ...

The semiconductor industry produces around 150 chips per person each year. With them comes massive data, generated from chip design, fabrication facilities, testing processes and supply chain ...

The artificial intelligence (AI) revolution has expanded rapidly since 2023, powering applications from chatbots to ...

Semiconductors are not just commercial commodities; they are foundational to US critical infrastructure. The US Department of Homeland Security officially categorizes the semiconductor industry under ...

In a bid to drive digital innovation and cut costs, the semiconductor industry is experiencing widespread consolidation through mergers and acquisitions (M&A). As core manufacturers of essential ...

The semiconductor sulfuric acid market in South Korea currently stands at approximately 380,000 tons per year, with Korea Zinc supplying 240,000 tons and LS MnM Inc. providing 140,000 tons. Samsung ...

China accelerated its ambitions to become more self-sufficient in semiconductor manufacturing today with new rules for its ...

Much of the talk in the electronics industry in 2025 has revolved around which tariffs are being implemented on parts and end products coming to the U.S. It is still unclear how this will play out in ...

Akira Amari, Honorary Chair of Japan’s Parliamentary Association for Semiconductor Strategy, stated that the Japan-Taiwan alliance should serve as a starting point for like-minded countries to jointly ...

As a major player in the memory chip sector, Korea aims to expand into logic chips, image sensors, and semiconductor design.

Honda Auto Plant in Marysville will scale back operations starting the week of Oct. 27 due to supply chain issues plaguing the auto industry. Honda is "making strategic adjustments to production as ...

Editor’s Note: The SCM thesis Predicting Semiconductor Component Lead Time for an Oil and Gas Company: A Dynamic Safety Stock Model with Machine Learning was authored by Chong Zhang and supervised by ...