Table 1.
Synopsis and comparison of the papers in the relevant literature.
Fig 1.
Flowchart of the proposed methodology.
Fig 2.
Flowchart for proposed GA.
Fig 3.
Part and machine chromosome representation.
Fig 4.
Two-point crossover method.
Table 2.
Design parameters and their levels.
Table 3.
Product information.
Table 4.
Part-machine incidence matrix.
Table 5.
Performance measures for the existing system.
Fig 5.
The diagram of the Taguchi experiment.
Table 6.
Experiments of the Taguchi design.
Table 7.
Machine and part chromosomes with varying weight factor values.
Table 8.
Alternatives and decision variables with varying weight factor values.
Fig 6.
Fitness function curve at weight factor 0.3.
Table 9.
Normalized decision matrix.
Table 10.
Weighted normalized decision matrix.
Table 11.
Final ranking for values of q.
Table 12.
Best part-machine incidence matrix.
Table 13.
Comparison results.