Several methods usable in production systems prediction

In this paper, we describe three methods based on the use of a dynamical system, the use of neural networks with rough sets, and the use of a fuzzy-logic method in order to predict the behavior of data processing extracted from a highly automated factory. rk presented here is a preliminary study done in order to develop a decision aid system for a highly automated factory in southern France (Merlin-Gérin). This factory produces low cost electrical circuit breakers in high volumes with short order delays. The aim is to predict the occurrence of ruptures in the production system where a rupture corresponds to a missed delivery date. m of our research is to model the global behavior of manufacturing systems, and then to correlate production tactical choices with their effects. We would like then to clarify the existing relations between some sectors of the enterprise. More precisely, the work carried out at Merlin-Gérin consists in a prediction of their nondelivery ratio, which is evaluated according to an analysis of historical data provided by production processing.