Production-process modelling based on production-management data: a Petri net approach
Résumé
During the development of a production control system, an appropriate model of the production process is needed to evaluate the various control strategies. This paper describes how to apply timed Petri nets and existing production data to the modelling of production systems. Information about the structure of a production facility and about the products that can be produced is usually given in production-data management systems. We describe a method for using these data to algorithmically build a Petri-net model. The timed Petri-net simulator, which was built in Matlab, is also described. This simulator makes it possible to introduce heuristics, and in this way various production scenarios can be evaluated. To demonstrate the applicability of our approach, we applied it to a scheduling problem in the production of furniture fittings.
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