Research Interests: Philosophy and Humanities
Practitioners extensively recognize the supply chain as an overall system with growingly complex interdependences. Nevertheless, several studies have pointed out that managers fail to see the whole system, and hence they do not operate... more
Practitioners extensively recognize the supply chain as an overall system with growingly complex interdependences. Nevertheless, several studies have pointed out that managers fail to see the whole system, and hence they do not operate consistently to such recognition, but they usually approach the issue from a local optimization perspective. This kind of reductionist solutions create large inefficiencies, which damage the profitability of the various supply chain members. Under these circumstances, we highlight the deployment of the systemic approach as the great challenge of the 21st-century supply chains. This paper develops this idea. Firstly, we explore the concepts of efficiency, flexibility and resilience as core operational goals for supply chains operating under the current global scene. Secondly, we underscore the systemic approach by defining the basic supply chain archetypes underlain by contrary philosophical approaches. Thirdly, we devise a framework based on three str...
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El potencial de la colaboración en cadenas de suministro para mejorar el rendimiento de las mismas es ampliamente aceptado tanto por profesionales como por académicos. Sin embargo, también es de sobra conocido que esta mejora exige hacer... more
El potencial de la colaboración en cadenas de suministro para mejorar el rendimiento de las mismas es ampliamente aceptado tanto por profesionales como por académicos. Sin embargo, también es de sobra conocido que esta mejora exige hacer frente a desafíos importantes. Uno de ellos es la necesidad de alinear incentivos entre los diferentes miembros de la cadena de suministro. Este trabajo aplica la Cibernética Organizacional de Beer con el objetivo de diseñar un marco conceptual para el alineamiento de incentivos en cadenas de suministro colaborativas. Nuestra aproximación emplea la Ley de la Variedad Requerida de Ashby, Redes de Petri y el Doble Ciclo de Aprendizaje Organizacional de Espejo serán necesarios. Como resultado, las complejas asimetrías entre los eslabones de la cadena de suministro son balanceadas, lo cual incrementa la confianza de éstos en la solución colaborativa.
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Various approach to the nesting problems resolution based on genetic algorithms (GA) were discussed. For this purpose, problem of positioning rectangular shapes on a rectangular base surface to make optimum use of the material base... more
Various approach to the nesting problems resolution based on genetic algorithms (GA) were discussed. For this purpose, problem of positioning rectangular shapes on a rectangular base surface to make optimum use of the material base surface was analyzed. It was ...
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Research Interests: Engineering, Computer Science, Time Series, Neural Networks, Engineering Applications, and 14 moreNeural Network, Electricity Market, Electricity, Energy Markets, Multilayer Perceptron, Time Series Forecasting, Backpropagation, Energy Price, Artificial Intelligence applications, Box-Jenkins Model, Neural Net, Artificial Neural Network, Mean Absolute Percentage Error, and Arima Model
A common way of dynamically scheduling jobs in a manufacturing system is by implementing dispatching rules. The issues with this method are that the performance of these rules depends on the state the system is in at each moment and also... more
A common way of dynamically scheduling jobs in a manufacturing system is by implementing dispatching rules. The issues with this method are that the performance of these rules depends on the state the system is in at each moment and also that no “ideal” single rule exists for all the possible states that the system may be in. Therefore, it would be interesting to use the most appropriate dispatching rule for each instance. To achieve this goal, a scheduling approach that uses machine learning can be used. Analyzing the previous performance of the system (training examples) by means of this technique, knowledge is obtained that can be used to decide which is the most appropriate dispatching rule at each moment in time. In this paper, a literature review of the main machine learning based scheduling approaches from the last decade is presented.
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Supply chain management has gained a strategic importance in recent years because rivalry is moving from “firm vs. firm” to “supply chain vs. supply chain”. Hence, supply chain key actors are facing extremely hard decision-making because... more
Supply chain management has gained a strategic importance in recent years because rivalry is moving from “firm vs. firm” to “supply chain vs. supply chain”. Hence, supply chain key actors are facing extremely hard decision-making because of risk management, inventory management, ethical procurement, total cost, and service challenges, among other major concerns. In this work, we propose a methodology to design appropriate decision support systems for dealing with the said issues. Organizational cybernetics offers a series of components that are very useful to device key points so to experiment decision-making based upon simulation tools. The implementation of the supply chain model through Petri nets and multi-agents systems empowers the managers to increase the probability of making the right decisions in a bid to increase the supply chain viability over time. The work also shows a case study in which a decision support system has been implemented for the well-known Beer Game scena...
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The aim of this paper is to develop a trading system based on Support Vector Machines (SVM) in order to use it in the S&P500 index. The data covers the period between 03/01/2000 and 30/12/2011. The inputs of the SVM are different... more
The aim of this paper is to develop a trading system based on Support Vector Machines (SVM) in order to use it in the S&P500 index. The data covers the period between 03/01/2000 and 30/12/2011. The inputs of the SVM are different forecasting algorithms: Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Momentum, Bollinger Bands and the Chicago Board Options Exchange Volatility Index (VIX). A SVM Classifier has been used in order to develop the trading system with a weekly forecast. The output of the SVM is the decision making for investors. The trading system works better in bearish movement of the S&P500 than bullish movement of the S&P500.
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En este trabajo se describe el desarrollo e implementación de un Sistema de Soporte a la Decisión (DSS) que ayudará en el proceso de cálculo de rutas y llenado de camiones, que tienen que transportar un número considerable de vehículos... more
En este trabajo se describe el desarrollo e implementación de un Sistema de Soporte a la Decisión (DSS) que ayudará en el proceso de cálculo de rutas y llenado de camiones, que tienen que transportar un número considerable de vehículos desde 8 orígenes y distribuirlos entre más de 3.000 posibles destinos repartidos por España y Portugal (incluidos algunos de Francia, Alemania, etc.). Se analiza, en primer lugar, el comportamiento de distintas metodologías a la hora de resolver un problema de rutas del tipo MDVRP y VRPTW. Tras ello, se opta por la utilización de la heurística GRASP como núcleo del optimizador que será desarrollado como una aplicación Web. El resultado es una mejora en la utilización del cubicaje de los vehículos, y una racionalización en las rutas que se traducen en un descenso de los costes de transporte.
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Research Interests: Wind Farm and Wind Speed
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A common method of dynamically scheduling jobs in Flexible Manufacturing Systems (FMSs) is to employ scheduling rules. However, the problem associated with this method is that the performance of the rules depends on the state of the... more
A common method of dynamically scheduling jobs in Flexible Manufacturing Systems (FMSs) is to employ scheduling rules. However, the problem associated with this method is that the performance of the rules depends on the state of the system, but there is no rule that is superior to all the others for all the possible states the system might be in.
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The aim of this paper is to prove the validity of an alternative prediction technique to another classical one, which is Box-Jenkins methodology, in order to produce multivariate prediction. In particular, one-step ahead forecasts will be... more
The aim of this paper is to prove the validity of an alternative prediction technique to another classical one, which is Box-Jenkins methodology, in order to produce multivariate prediction. In particular, one-step ahead forecasts will be obtained for two time series: thermic and hydraulic power production. These forecasts are based on the past values of those series.
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Design/methodology/approach Nowadays, the company must develop its activity in an environment characterized by: globalization, hard competitiveness, the necessity of flexibility and of answering dynamically to a changing demand. Thus, a... more
Design/methodology/approach Nowadays, the company must develop its activity in an environment characterized by: globalization, hard competitiveness, the necessity of flexibility and of answering dynamically to a changing demand. Thus, a distributed, autonomous approach, strong ...
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Abstract This research aims at examining the application of support vector machines (SVMs) to the task of forecasting the weekly change in the Madrid IBEX-35 stock index. The data cover the period between 10/18/1990 and 10/29/2010. A... more
Abstract This research aims at examining the application of support vector machines (SVMs) to the task of forecasting the weekly change in the Madrid IBEX-35 stock index. The data cover the period between 10/18/1990 and 10/29/2010. A trading simulation is ...
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RESUMEN En un inventario con centenares o miles de referencias, una importante cantidad de éstas está sujeta a demanda muy esporádica que, cuando se presenta, suele hacerlo en más una unidad a la vez. Representar la demanda durante el... more
RESUMEN En un inventario con centenares o miles de referencias, una importante cantidad de éstas está sujeta a demanda muy esporádica que, cuando se presenta, suele hacerlo en más una unidad a la vez. Representar la demanda durante el plazo de ...