Fig 1.
Shared manufacturing services composition flowchart.
Fig 2.
Relationship between indicators for shared manufacturing services.
Table 1.
Evaluation indicators and descriptions of indicators.
Fig 3.
Service composition and chromosome mapping relationship diagram.
Fig 4.
Improved NSGA-II algorithm flowchart.
Table 2.
GD and IGD values of the improved NSGA-II algorithm.
Table 3.
GD and IGD values of the traditional NSGA-II algorithm.
Fig 5.
The number of iterations required to converge to the optimal solution under different crossover probabilities.
Fig 6.
The number of iterations required to converge to the optimal solution under different crossover probabilities.
Table 4.
Candidate manufacturing resource service set.
Table 5.
Candidate manufacturing service upper-level objective function parameters.
Table 6.
Candidate manufacturing service lower-level objective function parameters.
Table 7.
Model parameter values.
Fig 7.
Upper objective function pareto solution set.
Table 8.
All candidate service combination schemes.
Table 9.
Candidate service composition.
Fig 8.
Comparison of cost convergence curves.
Fig 9.
Comparison of time convergence curves.
Fig 10.
Comparison of convergence curves for quality compliance rate.
Fig 11.
Using NSGA-II to obtain the optimal solution for iterations of 50, 100, 150, and 200.
Fig 12.
Using improve NSGA-II to obtain the optimal solution for iterations of 50, 100, 150, and 200.