The Semiconductor Industry presents unique challenges for traditional machine learning and data mining approaches. Some unique characteristics of semiconductor processes are:
- nonlinearity in most batch processes
- multimodal batch trajectories due to product mix
- process drift and shift
- process steps with variable durations (often deliberately adjusted)
- very complicated processes and process relationships
Many predictive analytics solutions and best practices do not take into account the above unique characteristics, and assume the manufacturing process is linear and unimodal in nature. At StreamMosaic, our solutions and approaches are designed to take into account the unique set of challenges that semiconductor manufacturing presents.