Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
381448 | Engineering Applications of Artificial Intelligence | 2009 | 9 Pages |
Abstract
This paper aims at providing real-time decision support in reaction to disruptive events in manufacturing environments. More precisely, we demonstrate how this approach can support the rescheduling process in enterprise resource planning (ERP)-controlled environments. Our demonstrative example, based on a real scenario in the aluminum industry, illustrates how a genetic algorithm and a real-time discrete event simulation model can be integrated within the common enterprise information systems.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Benoît Saenz de Ugarte, Adnène Hajji, Robert Pellerin, Abdelhakim Artiba,