Recent global crises, particularly the COVID-19 pandemic, have revealed major vulnerabilities in conventional spare parts supply chains and highlighted the need for more flexible and disruption-resilient manufacturing approaches. Additive manufacturing (AM) is increasingly viewed as a promising capability for strengthening supply chain resilience. Nevertheless, the ways in which AM contributes to resilience in spare parts networks are still not fully consolidated in the literature. This study provides a systematic review and critical synthesis of 19 peer-reviewed articles using the PRISMA protocol. The analysis combines bibliometric mapping with in-depth content and thematic examination, with particular attention to the disruption scenarios addressed in prior studies and the methods used to assess resilience. The results show that the current body of research is mainly concentrated on crisis-driven applications and case-specific disruptions, while adaptive and anticipatory forms of resilience remain underexplored. Moreover, the use of consistent and standardized resilience assessment frameworks is still limited. The review highlights key gaps related to digital integration, socio-technical perspectives, and methodological rigor, and calls for a shift toward predictive, data-enabled resilience intelligence in AM-supported spare parts supply chains.

Keywords

Resilience Assessment Techniques, Additive Manufacturing, Enabled Spare Part