ROBLES-VELASCO , Alicia

En esta Tesis se aborda el problema de la aparición de roturas o fallos inesperados en las tuberías que componen las redes de distribución de agua. Concretamente, se busca predecir dichas roturas utilizando técnicas basadas en el aprendizaje automático, del inglés machine learning. Tras un análisis exhaustivo de la literatura existente sobre el...

En este Trabajo Fin de Máster se desarrolla un método de optimización que permite resolver el problema de diseño y planificación de redes hidráulicas de distribución. Las redes de abastecimiento son infraestructuras de gran importancia que suponen grandes inversiones. Con el crecimiento demográfico de las ciudades, y el aumento de la...

En el presente Trabajo Fin de Grado se desarrolla un modelo de optimización matemático para la operativa de almacenamiento y apilado de contenedores en una terminal de contenedores portuaria. Este modelo proporciona la posición exacta de almacenamiento que debe ocupar cada contenedor que llega a la terminal, y las relocalizaciones que dicha...

In the current paradigm, where rapid evolution of the retail industry is seen, especially in textile companies, general product assignment in any distribution and supply chain, consisting of a main warehouse and several locations, can mean an important challenge. The replenishing process in shops centers all its attention on dynamically...

Asset management in water supply and sewerage infrastructures seeks correct planning and prioritization of the maintenance activities on their network elements. To determine the replacement priority for each network asset, an original priority model is utilized. It is based on a risk index that integrates both the probability and consequences...

Companies in charge of water supply networks are making a huge effort to optimally plan the annual replacements of pipes. This would save costs, enable a higher quality of service and a sustainable management of infrastructure. This study presents a methodology to predict pipe failures in water supply networks. Logistic regression and support...

In this study, an evolutionary fuzzy system is proposed to predict unexpected pipe failures in water supply networks. The system seeks to underpin the decisions of management companies regarding the maintenance and replacement plans of pipes. On the one hand, fuzzy logic provides high degrees of interpretability over other black box models,...

Sewer networks are mainly composed of pipelines which are in charge of transporting sewage and rainwater to wastewater treatment plants. A failure in a sewer pipe has many negative consequences, such as accidents, flooding, pollution or extra costs. Machine learning arises as a very powerful tool to predict these incidents when the amount of...

In Spain, the water supply service is a municipal responsibility and in general is a sector without competitors. For this reason, an efficiency analysis attains greater significance. This study uses Data Envelopment Analysis (DEA) to estimate the efficiency of different urban water utilities. An extensive data search, where several variables...

Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and capability to attain improvements in real industries. The recent tendency of data storage by companies that manage the water...