In this paper, a scheduling approach that combines multiple dispatching criteria into a single rule, with the objective of simultaneously optimizing multiple performance measures is proposed. This is accomplished using a linear combination with relative weights. The weights identify the contribution of the different criteria. The weights' assignments to the different criteria are optimized using a mixture design of experiments (DOE) and multiple response optimization. Results using the new approach show significant improvement versus the use of a single dispatching criterion.
- Semiconductor manufacturing
- Wafer fabrication
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering