The impact of Additive Manufacturing on supply chain resilience: a Delphi study

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. • The focus is on the impact of AM on supply chain resilience (SCR). • AM is found to positively affect most of the SC capabilities and vulnerabilities. • However, AM also negatively affects relevant SC capabilities and vulnerabilities. • Potential future scenarios for the use of AM for SCR have been derived. • The results are obtained empirically, for the first time in the literature.

Authors

Institutions

Publication Details

Journal
Technological Forecasting and Social Change
Published
2025-06-08
DOI
https://doi.org/10.1016/j.techfore.2025.124231
Citations
2
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
4.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of Additive Manufacturing on supply chain resilience: a Delphi study

Francesco Lolli, Antonio Maria Coruzzolo, Jan Holmström, Mirco Peron et al.
2 citations
Technological Forecasting and Social Change
Supply Chain Resilience and Risk Management
4.45
article

The impact of Additive Manufacturing on supply chain resilience: a Delphi study

Francesco Lolli, Antonio Maria Coruzzolo, Jan Holmström, Mirco Peron, Nicolò Saporiti
article en
2 citations

Abstract

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. • The focus is on the impact of AM on supply chain resilience (SCR). • AM is found to positively affect most of the SC capabilities and vulnerabilities. • However, AM also negatively affects relevant SC capabilities and vulnerabilities. • Potential future scenarios for the use of AM for SCR have been derived. • The results are obtained empirically, for the first time in the literature.

Technological Forecasting and Social ChangeVol. 219
University of Modena and Reggio Emilia (IT), NEOMA Business School (FR), University Carlo Cattaneo (IT), Aalto University (FI)
Openalex Percentile: Top 6%
Supply Chain Resilience and Risk Management
4.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.