Shared Data Migration Mitigates Supply Chain Cost of Electronics Counterfeiting
Electronics counterfeiting is gaining attention as evidenced by the recent IEEE International Symposium on Hardware Oriented Security and Trust chaired by Professor Mark Tehranipoor. More than 250 industry and academic leaders attended the conference to address the growing threat that counterfeit devices are posing to the security of the electronics supply chain. Inadvertent use of recycled, refurbished, or re-marked components can result in significant business risk for a manufacturer’s customers, resulting in unwanted returns and damage to their brand value.
Cross-Organizational Data Sharing in the Auto Supply Chain Reduces Defects
For years, semiconductor manufacturers have leveraged manufacturing data throughout their globally-dispersed supply chains to improve quality and reduce return material authorizations (RMAs). Automotive OEMs and Tier 1 suppliers are now working to meet the similar challenge of reducing defective parts per million (DPPM) and beyond in vehicle production. The ability to share and connect data backwards and forwards throughout the supply chain is now seen as a key capability to address this challenge. How can sharing data throughout the automotive supply chain reduce DPPM?
Enable Supply Chain Security Through an Authentication Data Network
Electronics counterfeiting is gaining attention as evidenced by the recent IEEE International Symposium on Hardware Oriented Security & Trust (HOST). More than 250 industry and academic leaders attended the conference to address the growing threat that counterfeit devices are posing to the security of the electronics supply chain. Inadvertent use of recycled, refurbished, or re-marked components can result in significant business risk for a manufacturer's customers, resulting in unwanted returns and damage to their brand value.
OptimalPlus MI at Semicon by Dylan Chatterjee
July 2015, Optimal+ is a provider of manufacturing intelligence software for data analytics in the semiconductor industry. Their software “improves yield, productivity, and quality, with full supply chain visibility.” They provide real time analytics for over 6,000 testers around the world and process over 20 billion chips annually.
The Quest for More Good Units per Hour
Over the past decade, the importance of RF-based systems on a chip (SoC) has grown significantly, following the exponential growth of wireless electronic devices in virtually all industry segments. Today, semiconductor companies are manufacturing billions of RF devices that are shipped inside of consumer, industrial and military products.
Big data, big decisions
You’ve undoubtedly heard a lot about big data. Gartner announced last August that the technology had passed the peak of inflated expectations of the market-research firm’s hype cycle. According to the hype cycle model, big data is descending into the trough of disillusionment, from which it will emerge, climbing the slope of enlightenment on its way to the plateau of productivity.
Touchdowns are Great in Football but Not in Semiconductors
Everyone likes a touchdown, right? Tom Brady's touchdown pass to Julian Edelman with just two minutes left on the clock in Super Bowl XLIX brought undiluted joy to millions of New England Patriots football fans. While many touchdowns in a single game are widely celebrated in football, a large number of "touchdowns" in semiconductor manufacturing would not be met with the same level of celebration.
Big data in semiconductors—how to collect, detect, and act
Big data, defined as an all-encompassing term for any collection of data sets so large or complex that it becomes difficult to process using traditional data processing applications, continues to be a major topic in virtually every business segment. While big data solutions have gained a foothold in retail, sales, and financial organizations over the past 10 years, there are other industries, like semiconductor manufacturing, that stand to reap significant gains from extreme analytic solutions that can mine these enormous sources of data.