Abstract
Simulation serves as an effective decision support tool in flexible manufacturing systems for understanding and analyzing the effect of changes to the system environment. Due to the variety of situations that have to be evaluated, a generative scheduler for such a system must be more flexible than its realistic equal while still producing detailed and accurate schedules. This research presents a possible solution to this problem and is intended for use in a distributed, reactive, virtual environment. The solution exploits the advantages gained by using multiple processes in a distributed environment to create, simulate, and evaluate possible schedules. The system is designed on the premise that a distributed parallel search and simulation of competing schedules with accompanying heuristics and subgoaling will greatly reduce the search space and control the state space explosion. Moreover, the need for cycle and deadlock detection is eliminated, thereby decreasing the overall complexity and computational requirements.
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