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Mr. Alan Weber

 

 

Mr. Alan Weber

Vice President

Cimetrix Incorporated

 Education:

  • Bachelor's and Master's degrees in Electrical Engineering, Rice University

 Experiences:

  • Semiconductor design automation

  • Equipment and factory control system architectures

  • Advanced Process Control (APC) and other key manufacturing applications

  • SEMI Information and Control standards, especially GEM300 and EDA/Interface A

  • Semiconductor manufacturing technology

 Biography:

 

  • Alan Weber is currently the Vice President, New Product Innovations for Cimetrix Incorporated. Previously he served on the Board of Directors for eight years before joining the company as a full-time employee in 2011.

  • Alan has been a part of the semiconductor and manufacturing automation industries for over 40 years. He holds bachelor’s and master’s degrees in Electrical Engineering from Rice University.

 

 Absract:

 

  • Many Smart Manufacturing presentations focus on the connectivity requirements for the number and diversity of devices that need to communicate over “Industrial Internet of Things” to achieve the collaborative decision-making behavior called for in the vision of Industry 4.0.

  • From this perspective, a lot of attention is devoted to the platforms, protocols, and “plumbing” needed to support these devices, without discussing the motivations and meaning of their interactions… thereby leaving much of real problem domain unaddressed.

  • In a complex manufacturing environment, most of the information about the current status and near-term outlook of the factory is embedded in the equipment itself, so the need to build a “virtual copy of the physical world” (from Industry 4.0 Wikipedia) is very real.

  • The latest generations of SEMI Standards (GEM and EDA) define explicit, device-resident metadata models of all the parameters, events, and alarms that may be produced, so applications can be programmatically configured to communicate with them with little or no custom software.

  • The challenge that remains is how to use that information to improve operational performance… in other words, deciding what manufacturing applications to build.

  • In this presentation, the author will relate a number of specific manufacturing objectives to the applications required to achieve them and show how the standards-based equipment models directly support their respective algorithms. 

 

 

 

 

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