Gelston Howell, Sanmina Corp

Srivats Ramaswami, 42q

Real-Time Process Control & Data Analytics in a High Volume "Smart Factory"


Gelston Howell, Senior Vice President, Marketing, Sanmina Corp

Gelston has worked in medical product design and manufacturing for the past 25 years. He managed the Medical Division at Sanmina for over six years, having responsibility for Sanmina’s manufacturing, engineering and regulatory compliance in five plants. Prior to joining Sanmina, Gelston worked for Siemens Medical and Acuson for 13 years in the medical ultrasound industry, including building a Siemens Medical manufacturing facility for class 2 medical devices in South Korea. Gelston began his career working for IBM as a chip designer.

Srivats Ramaswami, CTO, 42Q

Srivats Ramaswami has worked at both OEM’s and contract manufacturers for many years, most recently as vice president of I.T.Operations. His expertise includes the architecture and implementation of innovative I.T. solutions for large OEM’s, making their global supply chains visible and more efficient. Srivats is now responsible for providing leadership in customer acquisition and engagement, technology development and deployment for 42Q.


This presentation will review three different implementations of real time data analytics, closed loop process control and in process OCR (optical character recognition) implemented in high volume factories at Sanmina in 2016. All of these technologies were implemented on high speed production lines with significant ROI. These production lines use all electronic travelers, and all electronic process and test data upload to the travelers. For each of these three cases, the problem, solution and ROI will be reviewed. Videos of the implementations will also be shared.


  • Implementations of IIOT and Industry4.0 are happening in factories, and can provide substantial ROI.
  • Real time data analytics and process control is achievable, even in high volume factories where the computations involve thousands of measurements per minute.
  • These implementations all occur in a more or less "paperless" factory.
  • These technologies have a significant and measurable impact on product quality.