Propuesta en Supply Chain Management y Logística en la empresa Destino Seguro S.A.S

Propuesta realizada para la gestión de la SUpply Chain Management en la empresa objeto de estudio Destino Seguro S.A.SThe Supply Chain Management in business today is considered a key tool in the integration of the production processes of companies, a considerable challenge for companies after the application of Supply Chain is the modernization of processes in order to reduce time dead, reduce costs, unnecessary acquisition of inventory units and increase quality. This ultimately increases the level of competitiveness by successfully advancing towards globalization. Currently, markets have evolved with an important level of integration that includes negotiation, commercial participation, information flow and research of the different components of value chain management that allow them to advance and participate successfully, (Hoyos BP, Suply Chain Management, 2005) indicates that today the strategy is focused on participation between companies, that is, between Supply Chains, a company that decides to advance individually towards commercial globalization will have many obstacles to success. Taking into account (Hoyos BP, Supply Chain Management SCM, 2005), the members of a company's Supply Chain are all those with whom it interacts directly or indirectly to manage its production processes from the points of origin to the final points of distribution. . Therefore, in this work, the company Destino Seguro SAS will be presented, identifying first and primary level suppliers, as well as second and third level suppliers, its clients, members of the Supply Chain Management network structure , the integration of its processes through this network, its organization and integration, operational practices will be analyzed proposing improvements in some processes, in the same way transportation will be taken into account as an important factor in the chain, in such a way that the knowledge acquired in said company

Diseño de un sistema de reconocimiento de patrones en imágenes termográficas y de huella plantar para la identificación de pie plano en niños con edades entre cinco y seis años

The following paper presents the main results of an exploratory research oriented to design and implementation of a pattern recognition system for flatfoot identification in children between 5 and 6 years. Patterns were determined from texture analysis of foot thermographic images, and from contour analysis of footprint images. For each case, an artificial neuronal network was trained, with base in a back propagation algorithm. In each trial, 70% of data were used for training, and 30% for validation.  For experiments done, success rates greater than 80% were achieved. The best results was reached with contour patterns reduced by PCA, in a binary system, with a success rate of 90.84% in cross validation. Results are a contribution to study of diagnostic techniques for flatfoot treatment through use of technologic tools.El siguiente artículo presenta los principales resultados de una investigación exploratoria, orientada al diseño e implementación de un sistema de reconocimiento de patrones para la identificación de pie plano en niños entre los 5 y 6 años. Los patrones se determinaron a partir del análisis de textura en imágenes termográficas del pie y del contorno en imágenes de la huella plantar. Para cada caso, se entrenó una red neuronal artificial con un algoritmo de retro propagación. En cada ensayo, 70 % de los datos se utilizaron para entrenamiento y 30 % para la validación. Para los sistemas experimentados se encontraron tasas de acierto superiores al 80 %. Los mejores resultados de reconocimiento se lograron para un sistema binario (pie plano, pie sano), entrenado con patrones de contorno reducidos por análisis de componentes principales (ACP), con un porcentaje de acierto del 90,84 % en validación cruzada. Los resultados logrados son un aporte para el estudio de técnicas de diagnóstico y tratamiento del pie plano, con base en herramientas tecnológicas

Diseño de un sistema de reconocimiento de patrones en imágenes termográficas y de huella plantar para la identificación de pie plano en niños con edades entre cinco y seis años

The following paper presents the main results of an exploratory research oriented to design and implementation of a pattern recognition system for flatfoot identification in children between 5 and 6 years. Patterns were determined from texture analysis of foot thermographic images, and from contour analysis of footprint images. For each case, an artificial neuronal network was trained, with base in a back propagation algorithm. In each trial, 70% of data were used for training, and 30% for validation.  For experiments done, success rates greater than 80% were achieved. The best results was reached with contour patterns reduced by PCA, in a binary system, with a success rate of 90.84% in cross validation. Results are a contribution to study of diagnostic techniques for flatfoot treatment through use of technologic tools.The following paper presents the main results of exploratory research-oriented to the design and implementation of a pattern recognition system for flatfoot identification in children between 5 and 6 years. Patterns were determined from texture analysis of foot thermographic images, and from contour analysis of footprint images. For each case, an artificial neuronal network was trained, with base in a back-propagation algorithm. In each trial, 70 % of data were used for training, and 30 % for validation. For experiments done, success rates greater than 80 % were achieved. The best results were reached with contour patterns reduced by principal components analysis, PCA, in a binary system, with a success rate of 90.84 % in cross-validation. Results are a contribution to the study of diagnostic techniques for flatfoot treatment through the use of technologic tools