Abstract: Aspects of the present disclosure provide a method and a system for providing a selection of golden tools for better defect density and product yield. A golden tool selection and dispatching system is provided to integrate different components for robust golden tool selection and dispatching. The golden tool selection system selects a set of golden tools based on performance of a set of manufacturing tools and provides a fully automated operational environment to produce a product using the set of golden tools.

Abstract: Provided are a method and a system for virtual metrology in semiconductor manufacturing. Process data and metrology data are received. Prediction data is generated based on the process data and metrology data using a learning control model. The system for virtual metrology in a fabrication facility comprises a fault detection and classification system operable to receive process data, a statistical process control system operable to perform statistical process control on a history of physical metrology data to form metrology data, and a virtual metrology application operable to generate prediction data based on the process data and the metrology data using a learning control model.

Abstract: Aspects of the present disclosure provide a method and a system for providing a selection of golden tools for better defect density and product yield. A golden tool selection and dispatching system is provided to integrate different components for robust golden tool selection and dispatching. The golden tool selection system selects a set of golden tools based on performance of a set of manufacturing tools and provides a fully automated operational environment to produce a product using the set of golden tools.

Abstract: Aspects of the present disclosure provide a method and a system for providing automatic and accurate manufacturing delivery schedule without human operations. The method and system receive a delivery schedule, monitor performance of at least one manufacturing process to produce a specific lot of a product based on a plurality of statistical process control rules, and automatically revise a priority of the specific lot of the product if a statistical process control rule is violated. By using statistical process control methods and rules to monitor lot production performance, lot priority may be automatically revised to assure on-time delivery.

Abstract: Provided are a method and a system for virtual metrology in semiconductor manufacturing. Process data and metrology data are received. Prediction data is generated based on the process data and metrology data using a learning control model. The system for virtual metrology in a fabrication facility comprises a fault detection and classification system operable to receive process data, a statistical process control system operable to perform statistical process control on a history of physical metrology data to form metrology data, and a virtual metrology application operable to generate prediction data based on the process data and the metrology data using a learning control model.

Abstract: A system for tool monitoring is provided. The system comprises a first cassette, a second cassette, a processing tool, a first metrology tool, and a second metrology tool. The first cassette contains a first control wafer used for a first metrology process. The second cassette contains a second control wafer used for a second metrology process. The processing tool receives the first cassette and processes the first control wafer, and receives the second cassette and processes the second control wafer. The first metrology tool receives the first cassette from the processing tool, and performs the first metrology process on the first control wafer processed by the processing tool. The second metrology tool receives the second cassette from the processing tool, and performs the second metrology process on the second control wafer processed by the processing tool.