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Optimal+ Executives to Highlight Big Data's Role in Counterfeit Prevention and Quality Improvement for the Electronics and Semiconductor Industries
[May 03, 2016]

Optimal+ Executives to Highlight Big Data's Role in Counterfeit Prevention and Quality Improvement for the Electronics and Semiconductor Industries


Optimal+ CTO Michael Schuldenfrei and VP of Marketing David Park will present at two separate global technology conferences this week, HOST 2016, in McLean, Virginia and the Big Data Conference in Alicante, Spain, to discuss how real-time big data solutions are providing safeguards against counterfeiting, improving overall quality and reducing costs for the electronics and semiconductor industries. The two executives will present the following presentations:

  • "Enabling Supply Chain Security Through an Authentication Data Network," Michael Schuldenfrei, IEEE (News - Alert) International Symposium on Hardware Oriented Security and Trust (HOST) 2016, May 3, 2016

Counterfeit devices are a serious threat to the electronics supply chain. Inadvertent use of recycled, refurbished or re-marked components can result in significant business risk for the manufacturer's customers, resulting in unwanted returns and damage to their brand value. Real-time big data solutions can improve the overall electronics supply chain integrity and security by: connecting OCMs to OEMs, collecting and storing chip ID and "fingerprint" data of billions of chips, and implementing authentication and identification olutions.



  • "Reducing Test Time for Selective Populations in Semiconductor Manufacturing," David Park, Big Data Conference, May 5, 2016

As the semiconductor industry prepares for the growth expected from the "Internet of Things," one of the major challenges it will face is to maintain quality levels as the volume of devices continues to grow. One aspect of manufacturing operations that can, and must change, is how to test the devices that are shipped into the end market more efficiently while improving the level of quality. One of the ways to achieve these diametrically-opposed goals is through the use of Big Data analytics. Within a manufacturing environment, companies can establish a "Quality Index" where every individual device can be "scored" independently. If a device achieves a high-enough quality score during test operations, it can be "excused" from any further testing to accelerate overall manufacturing throughput with zero impact on quality. This presentation will discuss how semiconductor companies are implementing Big Data solutions today that improve overall product quality while simultaneously reducing their manufacturing costs by using data they already have in their possession.

About Optimal+


Optimal+ is a global provider of Manufacturing Intelligence software solutions, enabling semiconductor and electronics companies to seamlessly aggregate, organize and act upon the global manufacturing and test data they generate across their internal and external supply chains to measurably improve yield, quality and productivity. The company's real-time, Big Data analytics solutions are deployed in virtually every major foundry and OSAT currently serving the semiconductor ecosystem, processing over 35 billion chips every year on behalf of its customers and ushering in an era of unprecedented supply chain visibility that translates into strong and measurable ROI. For more information, visit www.optimalplus.com.


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