Using Static Capacity Modeling and Queuing Theory Equations to Predict Factory Cycle Time Performance in Semiconductor Manufacturing

Using Static Capacity Modeling and Queuing Theory Equations to Predict Factory Cycle Time Performance in Semiconductor Manufacturing

Con el fin de maximizar la utilizacin̤ de activos y cumplir con los requerimientos de envo̕ a los clientes, las compaą̕s de manufactura se orientan por dos mťricas: el empleo de la capacidad de produccin̤ y el tiempo de ciclos. La ciencia de planta (factory physics) indican que los algoritmos de t...

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Bibliografiske detaljer
Andre forfattere: Schelasin Roland, Proceedings of the 2011 Winter Simulation Conference / INFORMS Simulation Society
Format: Bog
Sprog:engelsk
Fag:
T<U+00C9>CNICA ADMINISTRATIVA
INVESTIGACI<U+00D3>N OPERATIVA
MANAGEMENT TECHNIQUES
OPERATIONS RESEARCH
ciencias de la administracin̤
investigacin̤ de operaciones
teora̕ de colas
modelado de capacidad estt̀ica
tiempos de ciclo
manufactura de semiconductores
factores de variabilidad
management sciences
operations research
queuing theory
static capacity modelling
cycle time
semiconductor manufacturing
variability factors
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Using Static Capacity Modeling and Queuing Theory Equations to Predict Factory Cycle Time Performance in Semiconductor Manufacturing

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