Format: 2013-05-25
Format: 2013-05-25
Enter a comma separated list of user names.

Author Bio

David Hanny's picture

David Hanny

A 16 year veteran of the semiconductor industry, David has been successful in bringing multiple innovative software products to market in the semiconductor, display, and solar industries. David has also done extensive work in the areas of material handling controls, RFID, and advanced short-interval scheduling.

Semiconductors

Getting More from Your Fab with Predictive Scheduling

By David Hanny
Sep282011

Chipmaking is arguably the most complex manufacturing operation in human history. To illustrate this:

  • A modern megafab – one that processes over a million wafers a year – contains hundreds of individual machines and turns out billions of finished chips a year
  • It can take over 750 individual process steps to make a modern microprocessor
  • The number of different types of chips being made simultaneously is growing while adding more layers to each one. As technology continues to progress the size of the chips are shrinking and manufacturing constraints are increasing

How is this complexity handled? By computers, of course, using a similarly complex piece of software called a manufacturing execution system (MES) which keeps track of every machine and every wafer in the fab.

At Applied Materials, we’ve taken software automation to the next level. Our SmartSched software doesn’t just react to changing fab conditions; it peers into the future. This video shows how it works.

Read More

Semiconductors

Predictive, Short-Interval Scheduling Improves Litho Utilization and Cycle Time

By David Hanny
Feb172011

There is a strong need to use optimization systems and processes to better match lots and tools, especially in photolithography which is a known bottleneck area. Keeping litho tools fully utilized and reducing wafer cycle time is key to meeting on-time customer delivery. These benefits are realized by repeatedly creating new litho schedules based on the changing state of the fab. Prediction provides a snapshot of the future, allowing better lot grouping and increased tool utilization.

Read More