In the post-COVID times, supply chain resilience is receiving significant attention in academic research. Most of literature emphasizes enhancing supply chain resilience rather than designing a resilient supply chain. The aim of this paper is to design a resilient Supply Chain Network (SCN) while maximizing profits. A multi-objective SCN design model is introduced maximizing node dispersion as well as the flow complexity, serving as dual objectives to enhance resilience in the supply chain network. Weighted sum of objectives optimization method is adopted for solving the multi-objective model. The design model yields SCN structures with variant SC densities and flow complexities relevant to the set weight for each objective. Selection of weights depends on whether the severity of anticipated disruption would be more vulnerable to the geographic proximity of facilities and/or the number of transportation links between facilities. The SCN with maximum SC profit is achieved in comparison with the profit loss in case of disruption.
Mikhail et al. (2026) studied this question.