Additive Manufacturing in Supply Chain Systems
Summary
Additive manufacturing (AM) is transforming traditional supply chains by shifting production from centralised factories to distributed, demand-driven networks. By building components layer by layer directly from digital models, AM enables rapid customisation, reduced lead times and on-site fabrication of spare parts. This flexibility enhances supply chain resilience by shortening replenishment cycles, lowering inventory levels and mitigating risks associated with transportation and geopolitical disruption. The intrinsic design freedom of AM supports topology optimisation and lightweight architectures, delivering material efficiency and sustainability gains through reduced waste. Key applications span aerospace tooling, automotive fixtures, medical implants and industrial spare parts, where on-demand production diminishes logistical complexity and carbon footprints. However, widespread adoption faces challenges in quality assurance, material standardisation, post-processing requirements and integration with existing enterprise resource planning systems. Progress in digital thread management, certification protocols and hybrid manufacturing platforms is gradually addressing these barriers. As AM technologies mature, their incorporation into end-to-end supply chains promises to reshape procurement strategies, business models and global manufacturing footprints, fostering agility and circularity in an increasingly uncertain world.
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Additive Manufacturing in Supply Chain Systems publication trend
The graph below shows the total number of articles in additive manufacturing in supply chain systems across all publications each year (not limited to Nature Index journals).
Technical terms
Additive Manufacturing (AM): A production process in which objects are created by sequentially depositing material layer by layer from a digital model.
Design for Additive Manufacturing (DfAM): A methodology that tailors product geometry and topology to exploit the unique capabilities of AM, such as lattice structures and complex internal channels.
Multi-objective optimisation: A computational approach that simultaneously evaluates and balances two or more conflicting performance metrics, such as cost and environmental impact, in supply chain design.
Circular economy: An economic framework aimed at minimising waste and maximising resource reuse through strategies such as on-demand production, remanufacturing and material recycling.
References
- Significant potential and materials used in additive manufacturing technologies towards sustainability. Sustainable Operations and Computers (2023).
- Expanding the horizons of metal additive manufacturing: A comprehensive multi-objective optimization model incorporating sustainability for SMEs. Journal of Manufacturing Systems (2024).
- Implementation of Additive Manufacturing in the Healthcare Supply Chain for Circular Economy Goals: Paradoxical Tensions and Solutions from an Industry 5.0 Perspective. Information Systems Frontiers (2024).
- The barriers to the progression of additive manufacture: Perspectives from UK industry. International Journal of Production Economics (2018).
- Additive Manufacturing: The Most Promising Technology to Alter the Supply Chain and Logistics. Journal of Service Science and Management (2017).
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