In this paper, we describe an adaptive controller for automated manufacturing cells. The controller inputs desired performance targets and job characteristics and outputs task sequences for each piece of equipment in the cell. It contains an adjustment module to rank performance measures and a collection of dispatchers to generate the task sequences. The rankings are done dynamically based on the current cell status. The task sequences are generated using neural networks. After we describe the controller, we discuss the results of some simulation studies which show how well it performs. 1
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