Abstract
Due to increased globalization and uncertainty in business environments, supply chains become more susceptible to disruptions. Therefore, risk manage- ment must be designed-in when making supply chain decisions. The objective of this study is to propose a multi-criteria, mixed integer, linear programming model to solve supplier selection and supply chain network-design decisions. We consider supply chain profit, supply dispersion, and supply resilience as objective functions. The proposed model is solved using a non-preemptive goal programming technique with multiple weight sets. We provided a numerical example to illustrate the usefulness of the model.
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