Avoid common mistakes on your manuscript.
Correction to: Journal of Intelligent Manufacturing (2021) 32:707–728 https://doi.org/10.1007/s10845-020-01697-5
Due to a slip, which mixed up two folds storing data on two sets of different algorithms, the original version of this article unfortunately contained some mistakes. The original experiment results (Table 7) in Case Study were uploaded incorrectly. Algorithm C in Table 5 is obtained from the first instance in Table 7, so Table 5 needs to be revised. Figures 10, 13 and 14 are to show the Pareto solutions and the Gantt Charts of the best solution and need to be revised. Figure 17 is to show the Pareto solutions of each instance (Table 7) obtained with MODE and the improved NSGA-II, respectively and needs to be revised.
The corrected version is given below. For each item, the original and the corrected are given in the following table, respectively. From these comparisons, we can see that the corrected results support the conclusion much more.
Original article has been corrected.
Table 5 | The original results | Table 5 The comparison of experimental results | ||
The number of Pareto solutions | Pareto solutions | |||
algorithm A | 10 | (60.8,66.8), (63.8,58), (59.8,69.2), (68,48.2), (67.2,53.2), (63.6,59.8), (59.5,73), (61.1,62.2), (67.1,54.1), (65,57.2) | ||
algorithm B | 11 | (101.2,24.7), (79.6,34.8), (85.7,29.6), (97.5,26.8), (82.8,30.8), (81.9,33.2), (82.5,31.2), (82.4,31.4), (89.2,26.9), (100.2,24.7), (83.5,29.6) | ||
algorithm C | 10 | (58.3,45.2), (63.4,42.7), (68.8,37.8), (70.9,36.9), (69.7,37.5), (63.8,40.1), (71.5,35.5), (65.6,39.5), (72.6,34.7), (62.6,45.2) | ||
The corrected results | Table 5 The comparison of experimental results | |||
The number of Pareto solutions | Pareto solutions | |||
algorithm A | 10 | (60.8,66.8), (63.8,58), (59.8,69.2), (68,48.2), (67.2,53.2), (63.6,59.8), (59.5,73), (61.1,62.2), (67.1,54.1), (65,57.2) | ||
algorithm B | 11 | (101.2,24.7), (79.6,34.8), (85.7,29.6), (97.5,26.8), (82.8,30.8), (81.9,33.2), (82.5,31.2), (82.4,31.4), (89.2,26.9), (100.2,24.7), (83.5,29.6) | ||
algorithm C | 10 | (59.5, 56.6), (69.8, 35.4), (59.2, 57.4), (67.3, 36.7), (74.1, 33.3), (66.6, 40.6), (62.1, 40.7), (71.6, 34.6), (67.1, 38.2), (59.6, 42.3) |
Table 7 | The original results | Table 7. The comparison of experimental results | ||||||||
min(C) | min(T) | Hypervolume | Spread | |||||||
MODE | NSGA-II | MODE | NSGA-II | MODE | NSGA-II | MODE | NSGA-II | |||
MKF-1 | 60.1 | 56.7 | 38.5 | 37.3 | 0.791 | 0.625 | 2.511 | 2.257 | ||
MKF-2 | 39.6 | 39.1 | 15.7 | 13.7 | 0.676 | 0.570 | 1.715 | 1.433 | ||
MKF-3 | 242.1 | 233.2 | 98.1 | 95.3 | 0.825 | 0.815 | 3.647 | 4.981 | ||
MKF-4 | 107 | 107.5 | 99.2 | 84.2 | 0.803 | 0.712 | 3.434 | 2.822 | ||
MKF-5 | 247.4 | 243.8 | 78.9 | 75.4 | 0.886 | 0.744 | 4.847 | 4.041 | ||
MKF-6 | 108.9 | 105.6 | 95.2 | 87.7 | 0.865 | 0.813 | 5.386 | 4.265 | ||
MKF-7 | 194.7 | 191.9 | 51.5 | 36.6 | 0.704 | 0.642 | 5.703 | 3.552 | ||
MKF-8 | 634.4 | 638.3 | 313.5 | 296.6 | 0.863 | 0.791 | 10.961 | 5.957 | ||
MKF-9 | 459.5 | 457.7 | 218.3 | 202.9 | 0.904 | 0.839 | 7.033 | 6.786 | ||
MKF-10 | 329.7 | 332.7 | 214.2 | 191 | 0.805 | 0.779 | 5.736 | 5.054 | ||
The corrected results | Table 7. The comparison of experimental results | |||||||||
min(C) | min(T) | Hypervolume | Spread | |||||||
MODE | NSGA-II | MODE | NSGA-II | MODE | NSGA-II | MODE | NSGA-II | |||
MKF-1 | 60.1 | 59.2 | 38.5 | 33.3 | 0.837 | 0.531 | 3.84 | 1.161 | ||
MKF-2 | 39.6 | 38.2 | 15.7 | 15.7 | 0.637 | 0.633 | 2.567 | 0.245 | ||
MKF-3 | 240.6 | 230.6 | 90.1 | 84.2 | 1.129 | 1.331 | 3.923 | 4.027 | ||
MKF-4 | 107 | 105.1 | 99.9 | 77.7 | 1.409 | 0.992 | 1.844 | 1.161 | ||
MKF-5 | 247.4 | 245.4 | 78.9 | 71.1 | 0.654 | 0.473 | 5.035 | 4.319 | ||
MKF-6 | 110.4 | 104.4 | 95.2 | 87.2 | 0.817 | 0.907 | 2.839 | 2.379 | ||
MKF-7 | 194.7 | 192.5 | 51.5 | 36.4 | 0.747 | 0.491 | 1.783 | 4.424 | ||
MKF-8 | 634.4 | 625.6 | 313.5 | 295.1 | 1.151 | 0.923 | 3.374 | 5.348 | ||
MKF-9 | 460.2 | 468.3 | 218.3 | 199.2 | 1.043 | 2.483 | 6.406 | 2.825 | ||
MKF-10 | 329.7 | 344.9 | 214.2 | 196.4 | 1.56 | 0.561 | 4.639 | 10.106 |
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wu, X., Peng, J., Xiao, X. et al. Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading. J Intell Manuf 33, 1181–1188 (2022). https://doi.org/10.1007/s10845-021-01859-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-021-01859-z