Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Review and optimization of the operation of potable water supply sources: case of the Metropolitan Area of Monterrey(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-11) Rico Moreno, Jose Francisco; Ramirez Orozco. Aldo Ivan; emimmayorquin; Aguilar Barajas, Ismael; Mahlknecht, Jurgen; Barrios Piña, Héctor Alfonso; School of Engineering and Sciences; Campus MonterreyA simulation-optimization model was developed in R to simulate the hydrological cycle of the dams that are the main sources of surface water. This was complemented by forecast information of climatological variables and the demand of the Metropolitan Area of Monterrey (MAM). The model simulated scenarios that were based on the extraction infrastructure and sustainable operation of the sources, using the Particle Swarm Optimization algorithm to minimize an objective function that aimed to lower the extraction operation costs and ensure continuous water supply. To simulate precipitation and runoff from the contribution basins, historical data on the dam regime of the studied vessels and the demand for the last ten years of the AMM were used. These data were provided by the operating agency Servicios de Agua y Drenaje de Monterrey (SADM), while climatological data were collected from open information by the National Water Commission (CONAGUA). Databases were created using stochastic models such as seasonal autoregressive integrated mobile media (SARIMA) and neural autoregressive networks (NNAR). These databases contain monthly historical information on the dam regime (direct precipitation, evaporation, and extractions), monthly precipitation of the selected climatological stations, and the water demand of the MAM. Based on the simulation results, it was concluded that maintaining the water consumption trend of the last 10 years is not feasible. The demand exceeds the annual concessions identified, and all sources remain under high operational stress. However, the scenario of increased extraction capacity for one of the surface sources is ideal for maintaining continuous supply, respecting current annual water allocations, and the sustainability of the aquifers. All scenarios indicate that unless better and incremental extraction infrastructure is developed, demand will not be met unless aquifers are overexploited beyond their natural recharge.
- A hierarchical multiobjective problem for green logistics(2017-12-04) Salazar Zendeja, Luis Alberto; González Velarde, José Luis; Camacho Vallejo, José Fernando; José Fernando Camacho Vallejo; González Velarde, José Luis; Cárdenas Barrón, Leopoldo EduardoThroughout all the extension of this thesis a situation where a distribution company and a manufacturer company work within a supply chain in a hierarchically manner. Each one of them has to optimize their own operations to minimize costs in the case of the manufacturer company and maximize profit as well as minimize CO2 emissions for the distribution company. A green logistic approach is also desired in this research, which is one of the reasons that a minimization of greenhouse gas emissions is considered. The resulting formulation of the problem is a multiobjective bilevel model, therefore a GRASP metaheuristic within a weighted sum method was developed to tackle this problem. In addition, a second simpler methodology which consists to reformulate the problem only as a selection of the customers that will be visited was used. In the latter methodology, the specific modeling known as the Multiple Choice Model was implemented to remove the bilevel aspect of the situation resulting in an easier model. Afterwards, this model was solved by a proposed Labeling Algorithm which will be compared with the traditional -constraint method for multiobjective problems. Twelve test instances were generated in order to assess both methodologies. The experimental results as well as the approximated Pareto front are shown. Finally, this thesis work presents the importance of using these kind of modeling techniques in a supply chain.