Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.

Donación voluntaria de sangre de cordón umbilical en el Hospital Universitario Virgen de la Arrixaca (2010-2011). Situación actual e influencia de las variables obstétrico-fetales

Objetivos: A principios de 2010 el Hospital Universitario Virgen de la Arrixaca puso en marcha, en el servicio de partos, el protocolo de donación voluntaria de sangre de cordón umbilical (SCU). Desde la reflexión y la autoevaluación, planteamos un análisis de nuestra situación actual a través del estudio de la influencia de las variables obstétrico-fetales en la calidad de las muestras. Métodos: Con este fin hemos planteado un trabajo de tipo observacional, descriptivo, retrospectivo y de corte transversal desde mayo de 2010 a noviembre de 2011, con el objetivo de aumentar la calidad de las unidades de SCU y optar por una gestión eficiente que haga sostenible el proyecto. Resultados: Se obtuvieron 123 donaciones potenciales de sangre de cordón y del análisis multivariable de las mismas obtuvimos una correlación positiva significativa entre el número de leucocitos, las semanas de gestación y el parto vaginal. El peso inicial de la unidad se incrementó significativamente a mayor peso del recién nacido y paridad de la donante. Conclusiones: Como conclusiones del estudio nos planteamos esbozar posibles factores predictivos que permitan seleccionar las muestras de mayor calidad y sean complemento de los actuales estándares elaborados por el Banco Público de Málaga. En este sentido nuestros resultados sugieren que en los partos con más semanas de gestación, paridad de la gestante y peso del recién nacido, así como en los partos vaginales, encontramos mayores posibilidades de obtener muestras de alta calidad.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.

Tungsten coil atomic emission spectrometry combined with dispersive liquid–liquid microextraction: A synergistic association for chromium determination in water samples

A novel and environment friendly analytical method is reported for total chromium determination and chromium speciation in water samples, whereby tungsten coil atomic emission spectrometry (WCAES) is combined with in situ ionic liquid formation dispersive liquid–liquid microextraction (in situ IL-DLLME). A two stage multivariate optimization approach has been developed employing a Plackett–Burman design for screening and selection of the significant factor involved in the in situ IL-DLLME procedure, which was later optimized by means of a circumscribed central composite design. The optimum conditions were complexant concentration: 0.5% (or 0.1%); complexant type: DDTC; IL anion: View the MathML sourcePF6−; [Hmim][Cl] IL amount: 60 mg; ionic strength: 0% NaCl; pH: 5 (or 2); centrifugation time: 10 min; and centrifugation speed: 1000 rpm. Under the optimized experimental conditions the method was evaluated and proper linearity was obtained with a correlation coefficient of 0.991 (5 calibration standards). Limits of detection and quantification for both chromium species were 3 and 10 µg L−1, respectively. This is a 233-fold improvement when compared with chromium determination by WCAES without using preconcentration. The repeatability of the proposed method was evaluated at two different spiking levels (10 and 50 µg L−1) obtaining coefficients of variation of 11.4% and 3.6% (n=3), respectively. A certified reference material (SRM-1643e NIST) was analyzed in order to determine the accuracy of the method for total chromium determination and 112.3% and 2.5 µg L−1 were the recovery (trueness) and standard deviation values, respectively. Tap, bottled mineral and natural mineral water samples were analyzed at 60 µg L−1 spiking level of total Cr content at two Cr(VI)/Cr(III) ratios, and relative recovery values ranged between 88% and 112% showing that the matrix has a negligible effect. To our knowledge, this is the first time that combines in situ IL-DLLME and WCAES.