Ein KI-basierter Ansatz für eine dezentrale Transportsteuerung zur bedarfsgerechten Materialbereitstellung in der Montage

Abstract

Forward thinking design of production and logistics systems requires a consideration of changeability aspects. AI methods such as intelligent and autonomous agents represent an approach to design and build up changeable transport planning and control systems. This paper examines to which amount a more intensified consideration of the agent paradigm within planning and control of transport processes might lead to improved logistics performance of such processes.