Aplicación de la metodología “policy deployment” planificación estratégica a un departamento de suministro de materiales para aerogeneradores para reducir inventarios

Debido a la necesidad de diferenciarse y hacer frente a la competencia, las empresas han apostado por desarrollar operaciones que den valor al cliente, por eso muchas de ellas han visto en las herramientas lean la oportunidad para mejorar sus operaciones. Esta mejora implica la reducción de dinero, personas, equipos grandes, inventario y espacio, con dos objetivos: eliminar despilfarro y reducir la variabilidad. Para conseguir los objetivos estratégicos de la empresa es imprescindible qué éstos estén alineados con los planes de la gerencia a nivel medio y a su vez con el trabajo realizado por los empleados para asegurar que cada persona está alineada en la misma dirección y al mismo tiempo. Ésta es la filosofía de la planificación estratégica. Por ello uno de los objetivos de este proyecto será el desarrollar una herramienta que facilite la exposición de los objetivos de la empresa y la comunicación de los mismos a todos los niveles de la organización para a partir de ellos y tomando como referencia la necesidad de reducir inventarios en la cadena de suministro se realizará un estudio de la producción de un componente de control del aerogenerador para conseguir nivelarla y reducir su inventario de producto terminado. Los objetivos particulares en este apartado serán reducir el inventario en un 28%, nivelar la producción reduciendo la variabilidad del 31% al 24%, mantener un stock máximo de 24 unidades garantizando el suministro ante una demanda variable, incrementar la rotación del inventario en un 10% y establecer un plan de acción para reducir el lead time entre un 40-50%. Todo ello será posible gracias a la realización del mapa de valor presente y futuro para eliminar desperdicios y crear un flujo continuo y el cálculo de un supermercado que mantenga el stock en un nivel óptimo.

Evaluación y optimización de los servicios de un taller de mantenimiento mediante el software de simulación ARENA

Debido a la necesidad de diferenciarse y hacer frente a la competencia, las empresas han apostado por desarrollar operaciones que den valor al cliente, por eso muchas de ellas han visto en las herramientas lean la oportunidad para mejorar sus operaciones. Esta mejora implica la reducción de dinero, personas, equipos grandes, inventario y espacio, con dos objetivos: eliminar despilfarro y reducir la variabilidad. Para conseguir los objetivos estratégicos de la empresa es imprescindible qué éstos estén alineados con los planes de la gerencia a nivel medio y a su vez con el trabajo realizado por los empleados para asegurar que cada persona está alineada en la misma dirección y al mismo tiempo. Ésta es la filosofía de la planificación estratégica. Por ello uno de los objetivos de este proyecto será el desarrollar una herramienta que facilite la exposición de los objetivos de la empresa y la comunicación de los mismos a todos los niveles de la organización para a partir de ellos y tomando como referencia la necesidad de reducir inventarios en la cadena de suministro se realizará un estudio de la producción de un componente de control del aerogenerador para conseguir nivelarla y reducir su inventario de producto terminado. Los objetivos particulares en este apartado serán reducir el inventario en un 28%, nivelar la producción reduciendo la variabilidad del 31% al 24%, mantener un stock máximo de 24 unidades garantizando el suministro ante una demanda variable, incrementar la rotación del inventario en un 10% y establecer un plan de acción para reducir el lead time entre un 40-50%. Todo ello será posible gracias a la realización del mapa de valor presente y futuro para eliminar desperdicios y crear un flujo continuo y el cálculo de un supermercado que mantenga el stock en un nivel óptimo.

Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005-2019 through a Bayesian approach

Purpose : To assess time trends of testicular cancer (TC) mortality in Spain for period 1985-2019 for age groups 15-74 years old through a Bayesian age-period-cohort (APC) analysis. Methods: A Bayesian age-drift model has been fitted to describe trends. Projections for 2005-2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results: A decrease of -2.41% (95% CRI: -3.65%; -1.13%) per year has been found for TC mortality rates in age groups 15-74 during 1985-2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15-54 (-1.18%; 95% CRI: -2.60%; -0.31%). During 2005-2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions: A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985-2004, whereas a leveling off for these trends can be considered during 2005-2019 among men older than 35.

Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005-2019 through a Bayesian approach

Purpose : To assess time trends of testicular cancer (TC) mortality in Spain for period 1985-2019 for age groups 15-74 years old through a Bayesian age-period-cohort (APC) analysis. Methods: A Bayesian age-drift model has been fitted to describe trends. Projections for 2005-2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results: A decrease of -2.41% (95% CRI: -3.65%; -1.13%) per year has been found for TC mortality rates in age groups 15-74 during 1985-2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15-54 (-1.18%; 95% CRI: -2.60%; -0.31%). During 2005-2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions: A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985-2004, whereas a leveling off for these trends can be considered during 2005-2019 among men older than 35.

Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005-2019 through a Bayesian approach

Purpose : To assess time trends of testicular cancer (TC) mortality in Spain for period 1985-2019 for age groups 15-74 years old through a Bayesian age-period-cohort (APC) analysis. Methods: A Bayesian age-drift model has been fitted to describe trends. Projections for 2005-2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results: A decrease of -2.41% (95% CRI: -3.65%; -1.13%) per year has been found for TC mortality rates in age groups 15-74 during 1985-2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15-54 (-1.18%; 95% CRI: -2.60%; -0.31%). During 2005-2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions: A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985-2004, whereas a leveling off for these trends can be considered during 2005-2019 among men older than 35.

Monitoring the decreasing trend of testicular cancer mortality in Spain during 2005-2019 through a Bayesian approach

Purpose : To assess time trends of testicular cancer (TC) mortality in Spain for period 1985-2019 for age groups 15-74 years old through a Bayesian age-period-cohort (APC) analysis. Methods: A Bayesian age-drift model has been fitted to describe trends. Projections for 2005-2019 have been calculated by means of an autoregressive APC model. Prior precision for these parameters has been selected through evaluation of an adaptive precision parameter and 95% credible intervals (95% CRI) have been obtained for each model parameter. Results: A decrease of -2.41% (95% CRI: -3.65%; -1.13%) per year has been found for TC mortality rates in age groups 15-74 during 1985-2004, whereas mortality showed a lower annual decrease when data was restricted to age groups 15-54 (-1.18%; 95% CRI: -2.60%; -0.31%). During 2005-2019 is expected a decrease of TC mortality of 2.30% per year for men younger than 35, whereas a leveling off for TC mortality rates is expected for men older than 35. Conclusions: A Bayesian approach should be recommended to describe and project time trends for those diseases with low number of cases. Through this model it has been assessed that management of TC and advances in therapy led to decreasing trend of TC mortality during the period 1985-2004, whereas a leveling off for these trends can be considered during 2005-2019 among men older than 35.

Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images

In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and nonlinear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artifacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting nonuniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the nonlinear component of movement and atmospheric artifacts with alternate filtering techniques in both the temporal and spatial domains. The method presents high flexibility with respect to the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise leveling measurements.