Modelo de plan estratégico para la gestión de inventarios para los repuestos John Deere de Ponce Yepes S.A.

En el presente trabajo se propone un modelo de plan estratégico, cuya aplicación se sugiere en la empresa Ponce Yepes S.A., con el objetivo de conseguir una eficiente y eficaz gestión de inventarios para la Línea de Repuestos John Deere. El estudio se ha dividido en tres capítulos, en los cuales se van estructurando progresivamente las diferentes etapas para el establecimiento del plan estratégico que se propone. El primer capítulo contiene un resumen teórico sobre la administración de inventarios, los conceptos, la clasificación y los modelos más difundidos. En el segundo capítulo se realiza el análisis de la situación actual de la empresa, enfocado a la Línea de Repuestos John Deere. Este capítulo incluye el análisis del entorno, el esquema de funcionamiento actual del sistema de inventarios, el análisis FODA, la determinación de los clientes internos y externos con sus correspondientes demandas, la elaboración y análisis de las matrices de evaluación de factores internos y externos, en forma individual y combinada; y, se presentan las listas de las estrategias a aplicarse. En el tercer capítulo se presenta la estructuración del plan estratégico, que está compuesto por la reformulación de la misión y visión, el establecimiento de objetivos globales para la gestión de repuestos John Deere, la formulación de las estrategias y políticas para alcanzar dichos objetivos y se concluye detallando el plan operativo, el cual incluye la matriz de aplicación del plan operativo, el cronograma de cumplimiento, el modelo de evaluación y seguimiento de dicho plan, y el flujo de caja del presupuesto de costos. Finalmente se presentan las conclusiones y recomendaciones resultantes del modelo de plan estratégico propuesto.

Sampling uncertainties in surface radiation budget calculations in RADAGAST

In the Radiative Atmospheric Divergence Using ARM Mobile Facility GERB and AMMA Stations (RADAGAST) project we calculate the divergence of radiative flux across the atmosphere by comparing fluxes measured at each end of an atmospheric column above Niamey, in the African Sahel region. The combination of broadband flux measurements from geostationary orbit and the deployment for over 12 months of a comprehensive suite of active and passive instrumentation at the surface eliminates a number of sampling issues that could otherwise affect divergence calculations of this sort. However, one sampling issue that challenges the project is the fact that the surface flux data are essentially measurements made at a point, while the top-of-atmosphere values are taken over a solid angle that corresponds to an area at the surface of some 2500 km2. Variability of cloud cover and aerosol loading in the atmosphere mean that the downwelling fluxes, even when averaged over a day, will not be an exact match to the area-averaged value over that larger area, although we might expect that it is an unbiased estimate thereof. The heterogeneity of the surface, for example, fixed variations in albedo, further means that there is a likely systematic difference in the corresponding upwelling fluxes. In this paper we characterize and quantify this spatial sampling problem. We bound the root-mean-square error in the downwelling fluxes by exploiting a second set of surface flux measurements from a site that was run in parallel with the main deployment. The differences in the two sets of fluxes lead us to an upper bound to the sampling uncertainty, and their correlation leads to another which is probably optimistic as it requires certain other conditions to be met. For the upwelling fluxes we use data products from a number of satellite instruments to characterize the relevant heterogeneities and so estimate the systematic effects that arise from the flux measurements having to be taken at a single point. The sampling uncertainties vary with the season, being higher during the monsoon period. We find that the sampling errors for the daily average flux are small for the shortwave irradiance, generally less than 5 W m−2, under relatively clear skies, but these increase to about 10 W m−2 during the monsoon. For the upwelling fluxes, again taking daily averages, systematic errors are of order 10 W m−2 as a result of albedo variability. The uncertainty on the longwave component of the surface radiation budget is smaller than that on the shortwave component, in all conditions, but a bias of 4 W m−2 is calculated to exist in the surface leaving longwave flux.

Conducting nanofibres produced by electrospinning

Electrospun fibres based on polypyrrole have been prepared. The incorporation of preformed polypyrrole into fibres electrospun from a carrier polymer can only be achieved when materials are prepared with particulates smaller than the cross-section of the fibre; even so there are some problems, with the substantial loss of material from the electrode tip. As an alternative approach, soluble polypyrroles can be prepared but these are not of sufficient viscosity to prepare electrospun fibres, once again a carrier polymer must be employed. More effective loadings are gained by the process of coating the outer surface of a pre-spun fibre; in this way electrospun fibres coated with polypyrrole can be prepared. This approach has been adapted to produce silver coated polymer fibres by the use of copolymers of styrene and 3-vinyl benzaldehyde.