On the Benefits of Including Age-structure in Harvest Control Rules

This paper explores the benefits of including age-structure in the control rule (HCR) when decision makers regard their (age-structured) models as approximations. We find that introducing age structure into the HCR reduces both the volatility of the spawning biomass and the yield. Although at a fairly imprecise level the benefits are lower, there are still major advantages for actual assessment precision of the case study. Moreover, we find that when age-structure is included in the HCR the relative ranking of different policies in terms of variance in biomass and yield does not differ. These results are shown both theoretically and numerically by applying the model to the Southern Hake fishery.

Regional IAM: analysis of risk-adjusted costs and benefits of climate policies

23 p.

Estudio técnico sobre la sistematización de herramientas informáticas en procesos de troquelería para automoción.

[ES]El presente estudio técnico tiene por objeto desarrollar y exponer la metodología empleada en el análisis CAD/CAE de piezas de chapa conformada en troquelería así como poner de manifiesto las ventajas de dicha técnica frente a las técnicas clásicas. Para ello, en él deben figurar una descripción general de dicha metodología, los objetivos de este estudio, los pasos para alcanzarlos y una distribución en forma de cronograma de las tareas que incluye el mismo. El estudio abarca dos partes claramente diferenciadas:  Descripción de un software CAD/CAE y sus múltiples beneficios en el diseño y desarrollo del producto  Desarrollo y exposición de un ejemplo sencillo Los contenidos del documento se estructuran de la siguiente forma: Inicialmente, se exponen los beneficios que reporta el uso de un programa CAE en empresas de conformado de chapa. A continuación, se describen las características generales de un software de elementos finitos. Finalmente se concluye con un caso ejemplo básico que ilustra las características expuestas anteriormente.

Some experiments on solving multistage stochastic mixed 0-1 programs with time stochastic dominance constraints

In this work we extend to the multistage case two recent risk averse measures for two-stage stochastic programs based on first- and second-order stochastic dominance constraints induced by mixed-integer linear recourse. Additionally, we consider Time Stochastic Dominance (TSD) along a given horizon. Given the dimensions of medium-sized problems augmented by the new variables and constraints required by those risk measures, it is unrealistic to solve the problem up to optimality by plain use of MIP solvers in a reasonable computing time, at least. Instead of it, decomposition algorithms of some type should be used. We present an extension of our Branch-and-Fix Coordination algorithm, so named BFC-TSD, where a special treatment is given to cross scenario group constraints that link variables from different scenario groups. A broad computational experience is presented by comparing the risk neutral approach and the tested risk averse strategies. The performance of the new version of the BFC algorithm versus the plain use of a state-of-the-artMIP solver is also reported.

Together we have it all ! Benefits of participation in collective emotional gatherings and communal coping

244 p.