INVESTIGADORES
CAFARO Vanina Guadalupe
capítulos de libros
Título:
SIMULATION-BASED FRAMEWORK TO AUTOMATED WET-ETCH STATION
Autor/es:
ADRIÁN M. AGUIRRE; VANINA G. CAFARO; CARLOS A. MÉNDEZ
Libro:
Proceedings of the 2011 Winter Simulation Conference
Editorial:
Omnipress
Referencias:
Lugar: Phoenix, Arizona; Año: 2011; p. 1821 - 1832
Resumen:
This work presents the development and application of an advanced modelling, simulation and optimization-based framework to the efficient operation of the Automated Wet-etch Station (AWS), a critical stage in Semiconductor Manufacturing Systems (SMS). Lying on the main concepts of the process-interaction approach, principal components and tools available in the Arena® simulation software were used to achieve the best representation of this complex and highly-constrained manufacturing system. Furthermore, advanced Arena templates were utilized for modelling very specific operation features arising in the process under study. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices. Arena® simulation software were used to achieve the best representation of this complex and highly-constrained manufacturing system. Furthermore, advanced Arena templates were utilized for modelling very specific operation features arising in the process under study. The major aim of this work is to provide a novel computer-aided tool to systematically improve the dynamic operation of this critical manufacturing station by quickly generating efficient schedules for the shared processing and transportation devices.