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GA-Driven ANN Model for Worker Assignment into Virtual Manufacturing Cells

 Abstract— Virtual cellular manufacturing systems (VCMS) have gained popularity quite recently after realizing a fact that it overcomes the difficulty posed by traditional cellular manufacturing systems (CMS) in terms of rearrangements and reconfiguration of the existing machineries and facilities. Worker assignments are crucial for VCMS since many of the benefits associated with it come from deriving an optimal worker assignment and adequate worker flexibility levels. Artificial neural networks (ANNs) are quite popular in mapping input and output variables to find out similar patterns and clusters. In this paper, a simulated ANN model has been proposed, for worker assignments into virtual cells, which is driven by genetic algorithm (GA) for optimizing ANN architectural parameters. Key findings and analysis on findings are presented and discussed.