The impact of Additive Manufacturing on supply chain resilience

A Delphi study

Bibliographic Data

ID21401019
AuthorsMirco Peron (0000-0001-6857-8392, NEOMA Business School, corresponding author), Nicolò Saporiti (0000-0003-2250-4157, University Carlo Cattaneo), Antonio Maria Coruzzolo (0000-0002-9252-4260, University of Modena and Reggio Emilia), Francesco Lolli (0000-0003-3967-091X, University of Modena and Reggio Emilia), Jan Holmström (0000-0002-2596-0337, Aalto University)
Year2025
Volume219
Pages124231
Publication date2025-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2025.124231
OpenAlexW4411129606
LanguageEN
Citations received2
References cited95

This study examines the impact of Additive Manufacturing (AM) on supply chain resilience (SCR) using Pettit et al.'s framework, which links SCR to supply chain (SC) vulnerabilities and capabilities. Given the lack of quantitative and empirical research on this topic, a Delphi study was conducted to determine whether AM has a positive or negative effect on these factors. The findings indicate that AM generally enhances SCR by improving key SC capabilities and vulnerabilities such as “Adaptability” and “Efficiency”. However, it also presents challenges as it negatively affects SC capabilities and vulnerabilities like “Resource limitations” and “Flexibility”. As such, AM adoption is not universally beneficial. Managers should hence assess their companies' SC capabilities and vulnerabilities, and invest in AM only if it strengthens their weakest areas. Furthermore, this study explores potential future scenarios for AM adoption in SCR. The findings identify two potential scenarios, with expected increases in AM use for SCR of up to 30 %. The study also outlines the required interventions and investments for the realization of these scenarios, offering practical insights for companies and policymakers. These insights guide stakeholders in identifying necessary interventions and understanding how these investments will impact the use of AM for SCR

Business · Delphi · Delphi method · Resilience (materials science) · Supply chain · Computer Science · Marketing · Materials Science · Quality and Supply Management · Supply Chain Resilience and Risk Management · Sustainable Supply Chain Management

Tools

Open DOIOpen Access