Figures & data
Table 1. Notations used in mathematical model formulations
Table 2. Decision variables
Table 3. Various parameters of the given problem
Table 4. Unit ton (raw material + transportation) cost (in million Rs. (₹)) from vendor to manufacturing plants
Table 5. Unit ton (production + transportation) cost (in million Rs. (₹)) for raw material sent to wholesale distributor warehouse
Table 6. Unit ton associated transportation cost (in million Rs. (₹)) from whole distributor warehouse (J) to market (K) & fixed cost (in million Rs. (₹)) of warehouses along with demand for all three periods
Table 7. Unit ton associated transportation cost (in million Rs. (₹)) from market (K) to collection/sorting centre (L)
Table 8. Unit ton associated transportation cost (in million Rs. (₹)) from collection/sorting centre (L) to refurbished centre (R) & fixed cost (in million Rs. (₹)) of collection/sorting centre
Table 9. Unit ton associated transportation cost (in million Rs. (₹)) from refurbished centre (R) to secondary market (T) & fixed cost (in million Rs. (₹)) of refurbished centre
Table 10. Unit ton (in million Rs. (₹)) associated transportation cost from collection/sorting centre (L) to recycling centre (F)
Table 11. Unit ton associated transportation cost (in million Rs. (₹)) from collection centre (L) to disposal site (Z) & fixed cost (in million Rs. (₹)) of disposal sites
Table 12. Unit ton associated transportation cost (in million Rs. (₹)) from recycling centre (F) to vendor (H)
Table 13. Scenario of case 1 for different periods
Figure 2. Optimal product flow and network configuration between echelons in forward supply chain for case 1
![Figure 2. Optimal product flow and network configuration between echelons in forward supply chain for case 1](/cms/asset/cbdc9a3b-dc13-4f1f-bc64-c2b1cc40e50e/tsue_a_1774817_f0002_oc.jpg)
Figure 3. Optimal product flow and network configuration between echelons in reverse supply chain for case 1
![Figure 3. Optimal product flow and network configuration between echelons in reverse supply chain for case 1](/cms/asset/b84c00f8-f79e-428d-b591-cc40e3361081/tsue_a_1774817_f0003_oc.jpg)
Table 14. Scenario of case 2 for different periods
Table 15. Comparison of existing FSC, case 1 and case 2
Figure 4. Optimal product flow and network configuration between echelons in forward supply chain for case 2
![Figure 4. Optimal product flow and network configuration between echelons in forward supply chain for case 2](/cms/asset/29889e43-8085-4684-a2a8-05078c97c587/tsue_a_1774817_f0004_oc.jpg)
Figure 5. Optimal product flow and network configuration between echelons in reverse supply chain for case 2
![Figure 5. Optimal product flow and network configuration between echelons in reverse supply chain for case 2](/cms/asset/f0f974dc-59c6-445a-9a7e-88dde4c43d10/tsue_a_1774817_f0005_oc.jpg)
Figure 6. Comparison of SC surplus and number of trucks for existing FSC and proposed CLSC (cases 1 and 2)
![Figure 6. Comparison of SC surplus and number of trucks for existing FSC and proposed CLSC (cases 1 and 2)](/cms/asset/5a4b26b1-191f-4079-8cbe-3e694b351a0a/tsue_a_1774817_f0006_oc.jpg)
Table 16. Scenario of case 3 for different periods
Figure 7. Optimal product flow and network configuration between echelons in forward supply chain for case 3
![Figure 7. Optimal product flow and network configuration between echelons in forward supply chain for case 3](/cms/asset/33b22519-8100-4a40-a3c4-5bd8cddceac0/tsue_a_1774817_f0007_oc.jpg)