Robust design of an agile sustainable closed-loop supply chain network with different sales channels

Designing a logistic network is a vital and strategic issue that provides the optimal platform for effective and useful management of supply chain. For this purpose, in this paper, a multi-echelon, multi-product, multi-period and multi-objective sustainable dual-channel closed-loop supply chain network has been designed taking into account the technology of RFID. Simultaneously this model seeks to maximize the profits and social responsibility of the supply chain network while it minimizes the whole delay in delivery time and environmental pollution. Also, because definitive models are incapable of understanding the complexities of real-world applications, so this paper also addresses systemic and environmental uncertainties.

In this study, the scenario-based stochastic robust programming optimization technique is used to deal with the uncertainty of the parameters and to deal with the uncertainty of the parameters, and due to the multi-objective model and for validation and model exact solution in small dimensions of a new robust augmented ε‑constraint method (AUGMECON‑R) is used to achieve the best balance between the objectives. Also, since the problem is of np-hard class, two NSGA-II and MOPSO algorithms were used to solve the model in larger dimensions.

The results show that this model has acceptable efficiency that due to the uncertainty of some parameters.

The proposed model includes mathematical formulas in a certain and robust state that allows the establishment of several complicated characteristics in the above text along with direct and indirect selling channels and repairing centers and secondary costumers create the new design of supply chain that can be supreme model for the managers and professionals with the wide application especially from strategic view.