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Table 1.

Synopsis and comparison of the papers in the relevant literature.

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Fig 1.

Flowchart of the proposed methodology.

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Fig 2.

Flowchart for proposed GA.

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Fig 3.

Part and machine chromosome representation.

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Fig 4.

Two-point crossover method.

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Table 2.

Design parameters and their levels.

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Table 3.

Product information.

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Table 4.

Part-machine incidence matrix.

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Table 5.

Performance measures for the existing system.

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Fig 5.

The diagram of the Taguchi experiment.

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Table 6.

Experiments of the Taguchi design.

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Table 7.

Machine and part chromosomes with varying weight factor values.

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Table 8.

Alternatives and decision variables with varying weight factor values.

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Fig 6.

Fitness function curve at weight factor 0.3.

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Table 9.

Normalized decision matrix.

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Table 10.

Weighted normalized decision matrix.

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Table 11.

Final ranking for values of q.

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Table 12.

Best part-machine incidence matrix.

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Table 13.

Comparison results.

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