Developers in the semiconductor space face a unique set of challenges when it comes to building data monitoring, management, and analytics solutions: proprietary platforms have rigid development environments that limit capabilities; platforms are siloed so developers have to recreate the same solutions to apply to different pieces of equipment; the complexity of developing on some platforms leads to long delays in developing custom features; and each platform may require knowledge of a different coding language.
Semiconductor Manufacturing Analytics Maturity Model: Where Are You on the Scale?
How many times per minute can your engineering staff check your manufacturing data?
When it comes to research and design, the semiconductor industry has a strong history of achieving transformational innovation by means of openness and knowledge-sharing. Since no single organization can bear the burden of the enormous expense involved in semiconductor research and design, industry-wide initiatives—even among traditional competitors—have paved the way for innovation that advances the entire industry.