The demand for additive manufacturing (3D printing) within the surgical and medical device sector is surging as a result of the potential for on-demand manufacturing, personalized products unique to each patient, and new digital workflows that integrate with other treatment technologies, amongst a plethora of new materials and geometric capabilities. However, there are numerous challenges that inhibit the implementation of 3D printing in the surgical and medical device supply chain. This webinar presents research that introduces a decision model to help mitigate the risk of 3D printing in the surgical and medical device supply chain. The study identifies the important challenges and most efficient strategies using analytical hierarchy process (AHP) and integrated quality function deployment (QFD). By understanding the full ecosystem chain and the benefits to the patient – the key challenge – and by collaborating as a full ecosystem – the key strategy – challenges can best be mitigated. Surgical and medical device supply chain decision makers will benefit from the decision model developed in this study.