Research Article

A Two-Stage Three-Machine Flow Shop Assembly Problem Mixed with a Controllable Number and Sum-of-Processing Times-Based Learning Effect by Simulated Annealing Algorithms

Table 15

Pairwise comparison of nine algorithms for the large size number of jobs.

Big n
AlgorithmStatistic value

JS_max vs. JS_min8.9219<0.0001
JS_max JS_mean1.54620.9754
JS_max JS_maxpi2.68570.6144
JS_max JS_minpi8.9231<0.0001
JS_max JS_meanpi3.03130.4434
JS_max SA_max8.2129<0.0001
JS_max vs. SA_min6.31660.0003
JS_max SA_mean8.4541<0.0001
JS_min JS_mean8.9231<0.0001
JS_min JS_maxpi8.9212<0.0001
JS_min JS_minpi1.45630.9831
JS_min JS_meanpi8.9238<0.0001
JS_min vs. SA_max8.9450<0.0001
JS_min vs. SA_min8.9414<0.0001
JS_min SA_mean8.9677<0.0001
JS_mean JS_maxpi1.29960.9920
JS_mean JS_minpi8.9243<0.0001
JS_mean JS_meanpi1.70440.9556
JS_mean SA_max8.6226<0.0001
JS_mean SA_min7.4503<0.0001
JS_mean SA_mean8.7932<0.0001
JS_maxpi JS_minpi8.9224<0.0001
JS_maxpi JS_meanpi0.45431.0000
JS_maxpi SA_ma8.8029<0.0001
JS_maxpi SA_min8.1199<0.0001
JS_maxpi SA_mean8.9094<0.0001
JS_minpi JS_meanpi8.9250<0.0001
JS_minpi SA_max8.9462<0.0001
JS_minpi SA_min8.9426<0.0001
JS_minpi SA_mean8.9689<0.0001
JS_meanpi SA_max8.8186<0.0001
JS_meanpi SA_min8.2291<0.0001
JS_meanpi SA_mean8.9242<0.0001
SA_max SA_min5.86160.0011
SA_max SA_mean1.40430.9866
SA_min SA_mean6.7381<0.0001