Abstract
In this paper, we propose a sustainable supply chain (SSC) model with various distribution channels. For constructing the SSC model, (1) the minimization of total cost as economic issue, (2) the minimization of total amount of CO\(_2\) emission as environmental issue, and (3) the maximization of total social influence as social issue are considered. Since the SSC model should have various distribution channels, (1) normal delivery, (2) direct delivery, and (3) direct shipment are also taken into consideration in it. A mathematical formulation is proposed to design the SSC model and it is implemented using hybrid genetic algorithm (pro-HGA) approach. In numerical experiments, several scales of the SSC model are presented and they are used to compare the performance of the pro-HGA approach with those of some conventional GA and HGA approaches. Experimental results prove that the pro-HGA approach is more efficient in solving the SSC model than the other competing approaches.
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