Figures & data
Figure 1. A generic closed-loop supply chain network.
Table 1. Reviewed works of system evaluation methods.
Figure 2. The solution framework of the integration approach.
Figure 3. (a) Description of qualitative factors. (b) A network of connections between factors.
Table 2. The values of some parameters.
Figure 4. Utilisation of components for the end-product.
Figure 5. The optimal logistic in the network.
Table 3. Triangular fuzzy numbers of linguistic comparison measures.
Table 4. The Fuzzy comparison matrix of the main factors.
Table 5. Mutual influence value from the fuzzy super-matrix of main-factor C1.
Table 6. The final evaluation results of the collection centre.
Table 7. The obtained payoff for the multi-objective model.
Table 8. The obtained Pareto solutions with penalty values.
Table 9. Performance results of each period.
Table 10. The obtained Pareto solutions without penalty values.
Figure 6. Comparison of two Pareto fronts.
Table 11. Optimal results in uncertain scenarios.
Figure 7. Pareto fronts of different experiments.
Table 12. Optimal results for different problem sizes.