Forschungsbericht Universität Mannheim 2006 / 2007

Sie erhalten darin zum einen zusammenfassende Darstellungen zu den Forschungsschwerpunkten und Forschungsprofilen der Universität und deren Entwicklung in der Forschung. Zum anderen gibt der Forschungsbericht einen Überblick über die Publikationen und Forschungsprojekte der Lehrstühle, Professuren und zentralen Forschungseinrichtungen. Diese werden ergänzt um Angaben zur Organisation von Forschungsveranstaltungen, der Mitwirkung in Forschungsausschüssen, einer Übersicht zu den für Forschungszwecke eingeworbenen Drittmitteln, zu den Promotionen und Habilitationen, zu Preisen und Ehrungen und zu Förderern der Universität Mannheim. Darin zeigt sich die Bandbreite und Vielseitigkeit der Forschungsaktivitäten und deren Erfolg auf nationaler und internationaler Ebene

Un sistema multi-agente para la auto-configuración de las operaciones de red en la subcapa MAC del modelo OSI

En el presente trabajo se propone una arquitectura auto-configurable empleando un sistema multi-agente para el diagnóstico y optimización de una red de telecomunicaciones por medio de la implementación de un sistema de recolección de información en estaciones, servidores y equipos activos de la red, la información capturada de se analiza, estandariza, filtra y procesa para el logro del objetivo seleccionado. Como soporte, se cuenta con un modelo de datos, el cual define y permite guardar la información necesaria para la reconfiguración de la red utilizando un modelo de optimización mediante el cual se realizan la reconfiguración de equipos y estaciones de red. El proceso de optimización es el mecanismo para el logro del objetivo que nos lleva a la toma de decisión. El sistema multi-agente interviene en el proceso de resolver muchos problemas de manera simultánea y desplegar la solución que consta de tareas aplicadas de una manera distribuida. Los resultados indican la factibilidad de una alternativa y permiten lograr la capacidad de ejecutar una solución automática de problemas. Una vez los agentes son comunicados de una tarea actúan sin la necesidad de un control centralizado.Abstract: In this work, a self-configuration computer network framework over a multi agent system for diagnostic, optimization and management was developed. The system follows several steps such as collecting information from workstations, servers and other active equipment in network. This information is tuned through parsing, standardization, and thus a data model takes scheme which who allows to keep the relevant information for the decision process. An optimization model is a key mechanism for achieving decision process. The multi agent system involves a process of solving simultaneously several problems and uses its distributed capacity for deploying a solutions. As a conclusion, it was possible to reach the goal, providing and deploying a self-configuration system on a network in a distributed way, when each agent does a job, it does not need a central control. When a computer network come into a partition state (two o many separate pieces), each piece must resolve their interconnection problems such as well-functioning, stability or self-diagnostic.Maestrí

Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios