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Active rescheduling for automated guided vehicle systems

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2 Author(s)
Interrante, L.D. ; Intelligent Syst. Lab., Alabama Univ., Huntsville, AL, USA ; Rochowiak, D.M.

The paper examines the use of knowledge-based techniques to generate a framework for the active rescheduling of an automated guided vehicle system in a manufacturing environment. The authors' approach to active rescheduling uses `cues' drawn from events on the shop-floor to trigger rescheduling. Simulation experiments are used to capture knowledge about the shop-floor and various scheduling strategies. An extensible agent architecture is developed to facilitate active rescheduling

Published in:

Intelligent Systems Engineering  (Volume:3 ,  Issue: 2 )