Intelligent modeling and simulation of flexible assembly systems

Authors:
Sk Ahad Ali;Hamid Seifoddini;Hong Sun
Affiliations:
University of Toledo, Toledo, OH;University of Wisconsin-Milwaukee, Milwaukee, WI;University of Toledo, Toledo, OH
Venue:
WSC '05 Proceedings of the 37th conference on Winter simulation
Year:
2005

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Abstract

A combination of product mix and production volume is analyzed using a reconfigurable simulation model aiming to improve the performance and optimal designing requirements. The performance under different production scenarios is developed to find the optimal combination of product mix to meet future customer demands. This research provides a re-configurable assembly system modeling by adding flexibility and evaluates alternative designs. The best satisfaction of the production requirements under dynamic production is validated with real application.