Programming with BSP Homomorphisms

International audienc

DOE Technique: an Industrial Application

The study presents the results of an industrial application of the Design of Experiment (DOE) technique. The work was carried out in a company producing polystyrene components to find the best compromise between technical, economic and technological features. To this end, the parameters directly influencing production were identified and a test campaign was carried out to quantify their impact on the technical behaviour of the components. Finally, economic differences were quantified

Sviluppo di un modello Markoviano per lo studio della formazione di code in ambiente produttivo flessibile

Atti del Dipartimento di Ingegneria Meccanica, Università di Brescia, Quaderno n.

Experiences and issues in evaluating tool requirements using Genetic Algorithms

This paper is concerned with the optimization of tool requirements in flexible manufacturing systems (FMSs). The main aim is to determine the best tool spectrum (i.e. the number of duplicates for each tool type to be provided) considering different layouts of the tool management area (tool rooms). The optimization method is based on the reciprocal interaction between a genetic algorithm (GA) and the simulation model of the FMS considered. Thus, the results proposed refer to the efficacy of the technique adopted and its practical application to tool management