New Scheduling Approach for Shared Resources and Mixed Storage Policies

Producción CyT

Capítulo de Libro

Autoría

P. Castro ; L.J. Zeballos ; C.A. Méndez

Fecha

2011

Editorial y Lugar de Edición

elsevier

Libro

Computer-Aided Chemical Engineering,29 (pp. 975-979)
elsevier

ISBN

978-0-444-53711-9

Resumen Información suministrada por el agente en SIGEVA

We propose a new mixed-integer linear programming (MILP) model for scheduling automated wet-etching stations (AWS), which can be classified as a multistage batch plant with both zero-wait and local storage policies and featuring a robot for moving the wafer lots from one stage to the next. The novelty is the use of a slot-based approach for handling the processing tasks together with general precedence sequencing variables for dealing with the transportation tasks. The performance of the new co... We propose a new mixed-integer linear programming (MILP) model for scheduling automated wet-etching stations (AWS), which can be classified as a multistage batch plant with both zero-wait and local storage policies and featuring a robot for moving the wafer lots from one stage to the next. The novelty is the use of a slot-based approach for handling the processing tasks together with general precedence sequencing variables for dealing with the transportation tasks. The performance of the new continuous-time model is shown to be significantly better than a pure sequencing based formulation and a closely related hybrid model taken from the literature.

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Palabras Clave

OptimizationMathematical modelingMILP