Resilient Supply Chain Network Design: Novel optimization models and sketch of the branch-price-and-cut algorithm

Traditional approach to Supply Chain Network Design was mostly intended to find a good trade-off between total income and various sustainability costs. However, recent extreme global events such as natural disasters, pandemics, climate change, and geopolitical conflicts, make critically important the incorporation of resiliency criteria to assess the survivability of the modeled system. We introduce the multi-objective Resilient Supply Chain Network Design Problem (RSCND) aimed to design Pareto-optimal families of production plans with respect to the following key objectives: min-max total cost and probability of a failure imposed by aforementioned disruptions. To obtain such designs, which balance aggregated sustainability (economical, social, environmental etc.) costs with survivability of the system, we propose a general scheme of a branch-price-and-cut algorithm.