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Designing a recycling supply chain network for a bottle manufacturing factory

Nowadays it is paramount to design recycling supply chains efficiently because of both economic and environmental concerns. In this article, a dynamic fuzzy mathematical model for a recycling supply chain network is presented with the dual aims of total costs and the environmental impacts minimization. The Artificial Bee Colony algorithm is utilized to discover Pareto optimal solutions. To show the validation of the proposed algorithm, 12 instances in two scales of small and large are considered, and to evaluate the performance of the algorithm, it is compared with the epsilon-constraint method. In small-size instances, the both approaches' solutions are compared with one another by analysis of variance according to three comparative metrics. The results indicate the dominance of the proposed ABC algorithm against epsilon-constraint method in terms of quality.