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Optimización Para El Normado, Planeamiento, Diseño Y Manejo Del Agua Subterránea, Richard C. Peralta
Optimización Para El Normado, Planeamiento, Diseño Y Manejo Del Agua Subterránea, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Los modelos de Simulación/optimización (S/O) junta modelos de simulación y optimización para calcular estrategias óptimas para el manejo del agua subterránea ante problemas de optimización propuestos. Una estrategia es un conjunto de caudales de extracción e inyección de agua subterráneas distribuidas espacial y temporalmente. Los modelos S/O están llegando a ser más comúnmente usados para el desarrollo de normas, planeamiento, diseño del sistema y manejo. Por ejemplo, los encargados del manejo y planificación del agua algunas veces deben decidir como controlar el uso del agua subterránea para originar un futuro favorable y evitar serios problemas. Los modelos S/O pueden ayudar …
The Benefit Of Using Simulation To Improve The Implementation Of Lean Manufacturing Case Study: Quick Changeovers To Allow Level Loading Of The Assembly Line, Jack J. Mcclellan
The Benefit Of Using Simulation To Improve The Implementation Of Lean Manufacturing Case Study: Quick Changeovers To Allow Level Loading Of The Assembly Line, Jack J. Mcclellan
Theses and Dissertations
In today's competitive manufacturing environment, companies are constantly looking for ways to improve. Because of this, many companies are striving to become "lean" by implementing lean manufacturing, which is a difficult process. To aid in the implementation of lean manufacturing, simulation was used to reduce the trial-and-error period of lean manufacturing and find to optimum approach to implement the lean manufacturing principle. In this research, a case study of implementing level loading of the production schedule for BullFrog International, L.C. will be examined. To make it possible to implement level loading, the thermo-former machine at the beginning of the operations …
Multi-Objective Conjunctive Use Optimization, H. C. Fayad, Richard C. Peralta
Multi-Objective Conjunctive Use Optimization, H. C. Fayad, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
This paper presents a simulation/optimization model based on artificial neural networks and genetic algorithms for solving multi-objective conjunctive water use problems. The model simulates and optimizes water flows in a hydraulically connected reservoir-stream-aquifer system. It is a powerful tool to help water managers and authorities in developing conjunctive water management strategies and evaluating tradeoffs between conflicting goals.
Optimization Modeling For Groundwater And Conjunctive Use Water Policy Development, Richard C. Peralta, R. Shulstad
Optimization Modeling For Groundwater And Conjunctive Use Water Policy Development, Richard C. Peralta, R. Shulstad
Civil and Environmental Engineering Faculty Publications
Planners must sometimes decide how to restrict or reduce groundwater use to prevent unacceptable future problems. Often there are several alternatives (policies). Comparing policies can involve formulating a sustained groundwater yield optimization problem and computing an optimal groundwater pumping strategy for each. This is easy via the SOMOS simulation/optimization (S/O) model. Subsequent analysis can include: flow simulation to predict transient water level response to pumping; and economic evaluation to estimate costs and returns. Two examples predict the best consequences of potential physical and legal management policies for alluvial and valley basin fill aquifers hydraulically linked to surface waters. Results show …