Wednesday, November 13, 2019
 

Smart Manufacturing I (software-centric)

11:30
Why is everyone talking about scheduling their fabs?
  John R Behnke, General Manager Final Phase Systems, Inficon
Why is everyone talking about scheduling their fabs?
John R Behnke

John R Behnke
General Manager Final Phase Systems
Inficon

John R Behnke

Abstract
The Industry 4.0/Smart Manufacturing revolution is underway and already driving changes throughout the Semi industry and world. The establishment of a comprehensive Digital Twin of a factory is key to delivering any I4.0/Smart solution. It is significantly more difficult to create a Digital Twin in Semi than any other industry for several reasons which will be reviewed. Fabs are willing to invest in creating a Digital Twin because it enables new capabilities, many of which were not comprehended even a few years ago. Among the new I4.0/Smart solutions, full Fab/Factory Scheduling is the leading application as it typically provides the fastest and greatest ROI. We will review the data and factory requirements, deliverables and expected benefits from such a system including case studies. We will conclude with an overview of future Scheduler enhancements including the integration with tool centric solutions like APC,FDC, eOCAP, etc..

Biography
John R BehnkeGM Final Phase Systems An INFICON Product LineAustin, TX | email: john.behnke@inficon.com | linkedin.com/in/johnbehnkeMr. Behnke has 35 years of semiconductor industry experience including: logic and memory manufacturing, technology/product development and fab operational excellence. As the GM of Final Phase Systems an INFICON Product Line, John leads a team that develop and deploy SMART software solutions that enable fabs to improve their manufacturing efficiency. FPS’s suite of software solutions are built upon a common Datawarehouse which enables advanced Fab Scheduling and optimized WIP movement as well as other related capabilities. He is also a Co-Chair of the Semi North America Smart Manufacturing Special Interest Group. Prior to FPS John served as the CEO and President of Novati Technologies, the SVP and GM of the Semiconductor Group of Intermolecular, the CVP for Front End Manufacturing, Process R&D and Technology Transfers at Spansion and the Director of AMD’s Fab 25’s Engineering and Operations groups where he was a founding member of AMD’s Automated Precision Manufacturing (APM) initiative which led the Semiconductor industry’s development and use of APC and other advanced factory systems. He also led the successful conversion of Fab 25 from Logic to Flash memory which was enabled through the virtual automation of the fab.Mr. Behnke earned a B.S. degree in Mechanical Engineering with an Industrial Engineering Minor from Marquette University. Mr. Behnke holds five U.S. patents.

11:50 TBD
  TBD
12:10 TBD
  TBD
12:30 TBD
  IBM
12:50 TBD
  STMicroelectronics
13:10
Cyber-Physical Human-in-the-Loop Systems for manufacturing: exploring the border between learning and control
  Giovanni Russo, Lecturer in Cyber-Physical Systems, University College Dublin
Cyber-Physical Human-in-the-Loop Systems for manufacturing: exploring the border between learning and control
Giovanni Russo

Giovanni Russo
Lecturer in Cyber-Physical Systems
University College Dublin

Giovanni Russo

Abstract
Complex manufacturing systems can be modeled as Cyber-Physical Systems (CPSs). Essentially, a CPS is a system controlled via a closed-loop computer-based algorithm and tightly integrated with the communication infrastructure and the behavior of its users. In a manufacturing scenario, it is of particular interest to study CPSs that have humans in their loop. In this context, the talk we will present some recent results related to the design of the control system for such Cyber-Physical, human-in-the-loop, systems. In particular, we will start with introducing our main set-up and context for the research. Then, we will present a set of new results for controlling systems directly from data. From the conceptual viewpoint, the results will allow to learn a control policy from demonstrations and the idea deploy our algorithms in a manufacturing environment, where the plant is not programmed to execute a task but it rather learns how to execute it from success stories

Biography
Giovanni Russo is a Lecturer in Cyber-Physical Systems at University College Dublin (UCD). Dr. Russo received his Ph.D. degree from the University of Naples Federico II in 2010. The focus of the work was on the stability of nonlinear dynamical systems with applications to networked control and systems biology. In 2010, Dr. Russo joined Ansaldo STS as a System Engineer and, from 2012 to 2015, he was the Lead System Engineer and Integrator of the Honolulu Rail Transit Project (HRTP) – the first mass transit driverless railway system of the United States. From 2015 to 2018, after having completed the HRTP system-level design, Dr. Russo has been with IBM Research Ireland as a Research Staff Member in Optimization, Control and Decision Science. In September 2018, Dr. Russo joined UCD and current research interests include Cyber-Physical Systems, nonlinear dynamics, stochastic systems and networked control systems. Dr. Russo is currently a member of the Board of Editors of IEEE Transactions on Circuits and Systems I: regular papers and of the IEEE Transactions on Control of Network Systems. Dr. Russo is also a funded investigator of the Science Foundation Ireland Research Centres I-Form (Advanced Manufacturing Irish Research Centre) and LERO (Irish Software Research Centre).

13:30

End