Powerchip Semiconductor Corporation

Yu-Wen Ho

Chien-Chung Chen

Hung-En Tai

Sheng-Jen Wang

Tzu-Hsiu Liu

A data tracking method applied in semiconductor manufacturing is provided. Split historical data of a wafer lot is retrieved and it is determined whether the end of lot data of the wafer lot is read. If not, a maximum split number required for a split processing applied to the wafer lot is determined. Next, a virtual sub split number required for the current process station is determined according to the maximum split number and a current split number. At least one virtual sub lot for the current process station is created according to the virtual sub split number. Process data of an original wafer lot corresponding to the virtual sub lot is copied to the virtual sub lot and virtual sub lots for the next process station is continuously created when creation is complete.

Data tracking method and system applied in semiconductor manufacturing

A real-time management method for manufacturing management and yield rate analysis integration. A plurality of yield rates relating to wafer products are summed and averaged for a historical yield rate. Multiple representational inline QC parameters are selected. A statistical process is implemented and, if no extreme value and collinear parameter exists and if analysis results satisfy normal distribution, multiple optimum inline QC parameters are selected from the representational inline QC parameters. Weights of each optimum inline QC parameter are calculated. A predicted yield rate is calculated according to the historical yield rate, weights, and a plurality of measurement and target values relating to the wafer products.

Real-time management systems and methods for manufacturing management and yield rate analysis integration

A dispatch integration method based on semiconductor manufacturing. When multiple tools are idle, idle messages are sent to a real-time dispatch system through a tool control system and a manufacturing execution system. The real-time dispatch system sorts tool parameters relating to tool efficiency based on a currently executed process using a principal component analysis method, defining weights of each tool according to the defined tool parameters and corresponding factor weights using a linear regression weight formula, calculating tool weights of each tool parameter using a linear regression weight formula, and determining a desired tool for dispatch according to the calculated tool weights.

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Hsinchu, Taiwan

Yu-Wen Ho