Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

Measure the reliability of a supply chain is an important step to promote the construction of more resilient chains. The resilience is necessary to guaranty the efficient and secure global movement of goods. This paper proposes an instrument to analysis and evaluates the reliability of a system. Also compare scenarios of reliability between a basic supply chains versus complex systems. Finally present useful conclusion to the construction of resilient and robust supply chain.

In this paper we present an SCOR-based model, the FCOR model. Such a model allows to define metrics for each strategic objective and in this way obtain a vision of the operations’ metrics at different levels. Our proposed model describes a number of steps that allows to find, in a structured way, the components that influence the most on the financial results, the level of influence that the firm has to change the result of such components and the impact that they will have in the final result in order to improve such metrics. We also present a case study of how the FCOR model was used in a manufacturing company, having a positive impact measured by a decrease by 5.3% on spending for waste materials, which was reflected in the reduction of variable expenses by 4.6%. This in turn contributed to the total production costs being reduced by 1.7% even though the deliveries increased by 4.5%.

This paper describes the use of a new algorithm that solves the school bus routing problem with stops selection. The aim is to reduce the travel time of a set of buses that transport students to a school. The fundamental contribution of the authors is the use of a probability model to describe the feasible solution space distribution and thus to get the best solution. An estimation of distribution algorithm is used to address the combinatorial complexity of the problem statement. Different and better results are obtained with the proposed algorithm against a genetic algorithm. The contribution of this paper is to propose an alternative to solve permutation-based representation problems with logistics application.

El computacionalismo aspira a ofrecer una teoría unificadora de la vida y la mente. Fracasa en esta tarea debido a que carece de las herramientas conceptuales para abordar el problema del significado. Argumento que una postura significativa es enactuada por un individuo con el potencial intrínseco a toda existencia biológica: la muerte. Para este individuo la vida importa a fin de adaptarse activamente, en lugar de desintegrarse pasivamente. Introduciré dos cosmovisiones antiguas y extranjeras que asignan a la muerte un rol constitutivo. Posteriormente, trazaré la emergencia de una concepción similar de mortalidad, derivada desde la era cibernética al desarrollo actual enfoque enactivo de la ciencia cognitiva. Finalmente, se analiza por qué el computacionalismo ortodoxo ha fracasado en atisbar de esta manera constitutiva el papel de la mortalidad.

Reseña de Rocío Antúnez Olivera, Juan Carlos Onetti. Caprichos con ciudades,

This article describes the social intervention work of 13 performance pieces by women workers and/or residents of the Historic Center, led by Lorena Wolffer and Territories of Culture for Equity, made in 2010. The objective is to show how the production of performative acts —where the body manifests itself— creates life changes in spaces for escape and intersubjectivity in the center city. This art illustrates that small collective acts, which are part of new politics of presence, creates resistance from emotions and generates respect.

Novedades Editoriales 82

A neural network for a pattern recognition model is developed for the first time to predict the diffusion behavior of the model diesel components (dibenzothiophene and quinolone) in three different membranes of polyvinyl alcohol, polyvinyl chloride and polymethyl acrylate. The simulation results show that the excellent performance target parameter optimization area can be obtained and the effective desulfurization and denitrification agent can be found. Compared with the advanced molecular dynamic simulation method and verified by adsorption experiments, the simulation values are in good agreement with the experimental data and molecular dynamic simulation data. The results reveal that the polyvinyl chloride membrane can improve the diffusion selectivity of dibenzothiophene and it is selected as the most effective desulfurization agent, while the polyvinyl alcohol membrane is selected as the most effective denitrification agent to remove the nitrogen compounds. Development time and effort of screening desulfurization agent and denitrification agent tests are also reduced because the neural network for the pattern recognition modelprovides ready-made decisions. Therefore, the neural network for pattern recognition is a prospect and practicable theoretical method to research the diffusion behavior of model diesel components in polymer membranes.

Nano grease is found to be stable and homogeneous (wherein carbon nanotubes act as sole thickeners and oil is polyalphaolefin (PAO)). This is a good indication that three dimensional (3D) percolation network structures among carbon nanotubes (single wall and multi wall) play a crucial role in stabilization. To better understand this assumption and provide further evidence, some additional carbon nanomaterials, such as carbon nanofiber (CNF), graphene, fullerene (C60), Ni-coated single wall carbon nanotube (SWNT), are selected to make the grease. Unfortunately, CNF, graphene, fullerene (C60) and Ni-coated SWNT do not form stable greases as nanotubes do. In addition, SWNTs were mixed with CNF and Ni-coated SWNT respectively to see if stable grease could be formed. The results indicate that the CNF/SWNT did not form the stable grease, while Ni-coated SWNT/SWNT did. Inter molecular Van der Waals forces could reasonably explain these experimental results. Appropriate tube size (nanotube and nanofiber), stereo structure (nanotube, graphene and fullerene), surface energy (nanotube and Ni-coated nanotube) are critical factors that determine if Van der Waals forces could take effect or not. The scientific merit of this paper is that we understand in what manner stable greases are formed and what kinds of carbon materials are appropriate for acting as sole thickener.

Errors arise in the measurement of sound absorption coefficient using impedance tube due to various factors. Minimizing the errors require additional hardware or proper calibration of certain components. This paper proposes a new intelligent error correction mechanism using mathematical modelling and soft computing paradigms. A low cost impedance tube is designed, developed and its performance is compared with a commercially available standard tube. A particle swarm optimization and neural network based system is developed to reduce the random and systematic errors in the developed impedance tube. The proposed system is tested using various porous and non-porous functional textile materials and the results are validated. A significant reduction in error is obtained at all frequency ranges with PSO based prediction method.