Applying GA-VNS approach to supply chain network model with facility and route disruptions

In this paper, a supply chain network (SCN) model which simultaneously considers the disruption risks of facility and route is proposed. As most conventional studies have focused either on solely or solely, considering in SCN can reinforce efficiency stability for its implementation. The with formulated as nonlinear 0–1 integer programming model, hybrid metaheuristic (pGA-VNS) approach combines genetic algorithm (GA) variable neighborhood search (VNS) used solving model. numerical experiment, various-sized models at each stage are presented they comparing performance pGA-VNS those some approaches (GA VNS single various GA-VNSs approaches). Experimental results show that outperforms GA, GA-VNS approaches, also proved.