Supply Chain Network Design Model Considering Supplier and Route Disruptions: Hybrid Genetic Algorithm Approach

In this paper, a supply chain network design (SCND) model considering supplier disruption and route disruption simultaneously is proposed. Since most of conventional studies have focused either on supplier disruption only or on route disruption only, the simultaneous consideration of supplier disruption and route disruption in the SCND model can reinforce its flexibility and efficiency. The SCND model is represented as a mathematical formulation and implemented using a hybrid genetic algorithm (HGA) approach, one of the meta-heuristic approaches. In numerical experiment, the performance of the HGA approach is compared with those of some conventional approaches using various-sized SCND models, and a sensitivity analysis considering i) the change of the number of main suppliers and ii) that of the number of the backup routes at main suppliers is done. Experimental results show that the HGA approach outperforms the conventional competing approaches, and the flexibility and efficiency of the SCND model proposed in this paper is also proved. Finally, the significance of this paper is summarized and a future research direction is remarked in conclusion.