Research Information System
Journal of Industrial and Systems Engineering , vol.13, no.4, pp.226-261, 2021 (Peer-Reviewed Journal)
The last decade has seen numerous studies focusing on the closed-loop
supply chain. Accordingly, the uncertainty conditions as well as the
environmental impacts of facilities are still open issues. This research
proposes a new bi-objective mixed-integer linear programming model to
design a closed-loop supply chain tire remanufacturing network
considering environmental issues that improve performance in conditions
of uncertainty associated with the tire industry. This model seeks to
maximize the total profits of the network, including customer centers,
collection centers, recycling centers, manufacturing/remanufacturing
plants, distribution centers, and on the other hand, is looking to
minimize environmental impact all over the supply chain network. Another
novelty of the proposed model is in the solution methodology. By using
an exact approach, the augmented ε‑constraint method, and meta-heuristic
algorithm, a well-known Grasshopper Optimization Algorithm (GOA),
optimal and Pareto solutions have been obtained for medium and large
size sample problems. We analyze the effectiveness of these
meta-heuristics through numerical experiments. Also, sensitivity
analysis has been provided for some parameters of the model. Finally,
the results and suggestions for future research are presented.