A resilient strategy for meat-food supply chain network design

As more interdependent relationship between suppliers and their immediate buyers in current supply chain networks (SCNs), any disruption of SCNs can bring dramatic threatening to the entire networks. The purpose of this paper is to present a network-design tool that can be used by managers/decision-makers in managing the disruption risks to forge a resilient meat-food SCNs. In this paper, a resilient network-design model based on multisupplier is constructed to enhance the survivability and resilience of the SCNs after the supply disruption happened by using mixed-integer stochastic programming method. Then Benders decomposition algorithm is adopted to solve the proposed model. Finally, a case analysis is presented to highlight the significance of the proposed model and the efficiency of the developed survivable resilient SCNs for meat-food.