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The purpose of the paper is to provide a conceptual foundation to enhance the body of knowledge related to supplier selection in light of global supply chain disruptions and risk.

The proposed tool is based on a multi‐criteria optimization framework, which will enable the user to gain a better understanding of how the consideration of each of these risk measures will affect the recommended solution/supply base. The model serves as a complement to existing supplier selection models by incorporating regional risks associated with potential suppliers' locations and density risks based on great circle distance measures.

The paper demonstrated the proposed model by using the great circle distance measure to calculate the density risk and two secondary data sources to capture environmental risk. One measure captures a variety of environmental issues such as …