考虑节点中断和需求波动的可靠供应链网络设计问题.

This paper studies a reliable supply chain network design problem (RSCNDP) including supply, transshipment and demand. The provider-side uncertainty (facility disruption) and the receiver-side uncertainty (demand uncertainty) are both considered, and scenario method is used to describe these uncertainties. Based on the p-robust model, a mixed-integer programming (MIP) model is proposed, where two parameters are used to describe the risk preferences of decision makers towards facility disruption and demand uncertainty. The objective function is to minimize the sum of facility fixed cost and transportation cost under a given pair of risk preference values. We develop a hybrid meta-heuristic algorithm based on the shortest augmenting path method and genetic algorithm (GA) to solve the MIP. The numerical study is conducted in the end. Numerical result verifies that decision-maker's risk preferences have a huge impact on the structure of supply chain network and the average performance of reliable supply chain network is much better than that of deterministic supply chain network in the presence of risks. [ABSTRACT FROM AUTHOR]