Streaming Equipment Data for Smart Manufacturing: Sources, Methods, Uses, and Benefits

This Webinar is Now Over

Two key pillars of a Smart Manufacturing implementation strategy for the semiconductor and electronics industries are 1) rapid reaction to important manufacturing events, and 2) predictive modeling of imminent factory conditions. Both depend on real-time access to manufacturing equipment, which supply most of the data used by applications in these two domains. Moreover, the ability to stream this data from a disparate set of sources into a system infrastructure providing fast, reliable, unfettered access to its eventual consumers has become a fundamental requirement for leading manufacturers.

This webinar provides a practical introduction to these topics for Smart Manufacturing stakeholders in several company contexts, including semiconductor and electronics manufacturers as well as their equipment and software suppliers.

Speakers
Alan Weber - VP New Product Innovations, Cimetrix by PDF Solutions
Mike Motherway - Smart Factory Product Owner, Cimetrix by PDF Solutions

Date: March 29, 2022
Time: 10 AM - 11 AM PDT

* Recordings of our webinars will be available to all registrants.

Description

The purpose of this webinar is to give participants interested in best practices for handling real-time equipment and sensor data in a Smart Manufacturing environment a basic understanding of the following:

  • Definition and distinctions of streaming data
  • Manufacturing applications that leverage streaming equipment data
  • Performance expectations from the leading manufacturers
  • Industry communications standards that support its access
  • Integration platform architecture for accessing and distributing streaming data
  • Latest cloud-based system technologies for reliable, scalable platform implementation

Who Should Attend

Given the wide range of potential stakeholders involved in the collection and use of streaming equipment data, people from the following semiconductor factory organizations and equipment suppliers could well benefit from this webinar:

  • Automation managers and engineers
  • Process, quality, equipment, and industrial engineers
  • Manufacturing data analysts, “citizen data scientists”
  • AI/ML (Artificial Intelligence, Machine Learning) technologists
  • Manufacturing application software developers

We hope you will join us!