A resilient plant location model is proposed in this research and has been evaluated for a case problem. The model considers three major indicators of network resilience, viz. node density, node complexity and node criticality. A resilient design could ensure for cost efficiency, apart from that the likelihood of potential disruptions due to bottlenecks could be minimized. The results were optimized using a novel crazy elitist TLBO algorithm. The algorithm has been presented to solve the case problem and has been pretested for a constrained and unconstrained test function. A multi-objective decision-making model has been constructed with the flow of products as variables and was effectively solved using the meta-heuristic. The solution to the case brings insights into the design of supply network for resilience, and the managers are recommended to incorporate the concepts of resilience from the design phase itself.
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