Digital twin (DT) plays a vital role in driving digital transformation across varied sectors, including supply chains, manufacturing, logistics, etc. In supply chain management, DTs offer significant benefits by providing detailed virtual models of supply chain processes. This allows real-time monitoring, predictive analysis, and optimization, leading to enhanced efficiency, cost reduction, and improved service levels. Despite common misconceptions, DTs and simulation models are distinct but complementary, working together to provide comprehensive insights into system behavior and performance. This chapter explores key studies on the application of simulation and DT in supply chain management, clarifying concepts, examining implementation, and reviewing exemplary applications. The conclusion highlights key challenges and future directions for DT and simulation models in supply chain management.