Science and Technology Production
A novel optimization method to automated wet-etch station scheduling in semiconductor manufacturing systems

Book Chapter

Authorship
A. Aguirre ; C.A. Méndez
Date
2010
Publishing House and Editing Place
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Book
Computer-Aided Chemical Engineering, 28 (pp. 883-888)
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ISBN
978-0-444-53569-6
Summary Information provided by the agent in 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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Key Words
SchedulingSemiconductorAWSMILP