María Guadalupe Villarreal Marroquín

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Injection Molding is one of the most important processes for mass-producing plastic products. To help improve and facilitate the molding of plastic parts, advanced computer simulation tools have been developed. While modeling is complicated by itself, the difficulty of optimizing the injection molding process is that its performance measures usually show(More)
The MWTP: Monterrey Weather, Traffic and Pollution Database contains a collection of historic weather conditions, and recent traffic and air pollution data of the metropolitan area of Monterrey, Mexico. Collected data includes: temperature, humidity, raining conditions, wind speed, travel distance, travel time, PM2.5, PM10, O3, among many others. As of(More)
In this work a method to facilitate the elaboration of a forecast for people with little statistical training is proposed. The method uses a rather simple yet sufficiently accurate time series characterization that allowed training a series of artificial neural networks (ANNs) to predict the forecasting performance of several statistical techniques. A case(More)
In this work, a simulation optimization method is proposed. The method starts with an initial design of experiments with which an incumbent solution is obtained. At each iteration, a metamodel is obtained using the available set of points and it is used to generate a new attractive point where a simulation is performed. The simulated value of the new point(More)
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