Two-machine open shop scheduling with special transportation times

Abstract not available

Modelling turbulent flow dynamics in AC magnetic field

Abstract not available

Aplicación y comparación de la metodología de diseño Top Down y Bottom Up

Este proyecto estudia y compara las metodologías Bottom Up y Top Down, utilizadas en el desarrollo de productos dentro de un departamento de manufactura en un ambiente colaborativo -- Se desarrolló un producto mediante ambas metodologías, posteriormente se analizó su incidencia en el comportamiento de indicadores de gestión, que miden el desempeño de una organización -- Se destacan también los beneficios del Top Down en la manufactura de grandes ensambles, tomando como ejemplo un torno

Enhancing the numerical performance of fire field models (CMS Paper)

This paper describes two new techniques designed to enhance the performance of fire field modelling software. The two techniques are "group solvers" and automated dynamic control of the solution process, both of which are currently under development within the SMARTFIRE Computational Fluid Dynamics environment. The "group solver" is a derivation of common solver techniques used to obtain numerical solutions to the algebraic equations associated with fire field modelling. The purpose of "group solvers" is to reduce the computational overheads associated with traditional numerical solvers typically used in fire field modelling applications. In an example, discussed in this paper, the group solver is shown to provide a 37% saving in computational time compared with a traditional solver. The second technique is the automated dynamic control of the solution process, which is achieved through the use of artificial intelligence techniques. This is designed to improve the convergence capabilities of the software while further decreasing the computational overheads. The technique automatically controls solver relaxation using an integrated production rule engine with a blackboard to monitor and implement the required control changes during solution processing. Initial results for a two-dimensional fire simulation are presented that demonstrate the potential for considerable savings in simulation run-times when compared with control sets from various sources. Furthermore, the results demonstrate the potential for enhanced solution reliability due to obtaining acceptable convergence within each time step, unlike some of the comparison simulations.

A comparison of predictions from the buildingEXODUS evacuation model with experimental data

Abstract not available