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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Detaylı Bibliyografya
Diğer Yazarlar:	Schelasin Roland, Proceedings of the 2011 Winter Simulation Conference / INFORMS Simulation Society
Materyal Türü:	Kitap
Dil:	İngilizce
Konular:	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
Online Erişim:	Using Static Capacity Modeling and Queuing Theory Equations to Predict Factory Cycle Time Performance in Semiconductor Manufacturing
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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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