Design of a Decision Support System for Production Scheduling with Intelligent Agents

The importance of research for rapid and automated model construction of decision support systems is prominent and recognized. In the literature, research on model construction methods has been conducted using either component-based approaches or artificial intelligent approaches; however, these methods are usually incapable of handling dynamic constrains under different situations. To obtain suitable models for practical applications, we propose an new structure of object-oriented intelligent agents for decision support systems in production scheduling to help the users perform decision-making. We also describe how this intelligent agent incorporates with decision support system to construct problem-solving models.