Figures & data
Figure 1. A three-echelon supply chain.
Figure 2. General schema of Section 3.
Figure 3. Inventory level of EOQ problem with partial backordering.
Figure 4. Inventory level of EPQ model with full backordering.
Table 1. Agility measurement factors
Figure 5. ANP network to rank suppliers.
Figure 6. The inventory level of EOQ problem with full backordering for at the firm level.
Figure 7. The combined inventory profile for the level of the retailer and manufacturing plant.
Figure 8. The combined inventory profile for the level of manufacturing plant.
Figure 9. Pseudo-code of the applied hybrid optimization algorithm.
Figure 10. The general schematic of the population in DE.
Table 2. The relevant data of the instances size
Table 3. Relevant date of final products at the retailer’s level
Table 4. Relevant data of final product at the manufacturing plant’s level
Table 5. Relevant data of raw material at the manufacturing plant’s level.
Table 6. Judgment about alternatives with respect to criteria product flexibility
Table 7. Judgment about clusters with respect to cluster technology/process related
Table 8. The value of objective functions and CPU time
Table 9. The comparison results of objective function value applying the DE and DE–PSO algorithms
Figure 11. The convergence path (problem 1).
Figure 12. The convergence path (problem 2).
Figure 13. The convergence path (problem 3).
Figure 14. The convergence path (problem 4).
Figure 15. The convergence path (problem 5).
