Article ID Journal Published Year Pages File Type
381448 Engineering Applications of Artificial Intelligence 2009 9 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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