Producción CyT
A novel optimization method to automated wet-etch station scheduling in semiconductor manufacturing systems

Capítulo de Libro

Autoría
A. Aguirre ; C.A. Méndez
Fecha
2010
Editorial y Lugar de Edición
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Libro
Computer-Aided Chemical Engineering, 28 (pp. 883-888)
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ISBN
978-0-444-53569-6
Resumen Información suministrada por el agente en SIGEVA
This work addresses the short-term scheduling of one of the most critical stages in the semiconductor industry, the automated wet-etch station (AWS). An efficient MILP-based computer-aided tool is developed in order to achieve a proper synchronization between the activities of sequential chemical and water baths and limited automated wafer’s lot transfer devices. The major goal is to find the optimal integrated schedule that maximizes the whole process productivity without generating wafe... This work addresses the short-term scheduling of one of the most critical stages in the semiconductor industry, the automated wet-etch station (AWS). An efficient MILP-based computer-aided tool is developed in order to achieve a proper synchronization between the activities of sequential chemical and water baths and limited automated wafer’s lot transfer devices. The major goal is to find the optimal integrated schedule that maximizes the whole process productivity without generating wafer contamination.
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Palabras Clave
SchedulingSemiconductorAWSMILP