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Abstract : |
We present a model for task rescheduling in multi-agent manufacturing that is geared toward maximising system efficiency and reliability in an environment with predictable failure patterns. We describe a distributed manufacturing system architecture [1] to illustrate the merits of rescheduling. We also develop an action redistribution framework based upon resource cooling, ie migrating actions from the most utilised or faulty (hottest) agents ' resources to the coldest (least constrained) ones. Furthermore, the paper discusses the costs versus benefits of resource cooling when rescheduling cascades over parallel resources executing a decentralised production task. 1., |
