| Title |
Data-driven review of additive manufacturing on supply chains: Regionalization, key research themes and future directions |
| ID_Doc |
24176 |
| Authors |
Akbari, M |
| Title |
Data-driven review of additive manufacturing on supply chains: Regionalization, key research themes and future directions |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.cie.2023.109600 |
| Abstract |
Additive manufacturing (AM) has the potential to greatly impact supply chains in a number of positive ways, particularly in regional and remote locations. This study aimed to identify the impact and application of AM on regional supply chains (RSCs) and address the associated challenges while promoting the sustainable use of this technology. Therefore, this study implemented a streamlined evaluation text mining method that employed Latent Dirichlet Allocation (LDA)-based modeling for robust content analysis. Over the past 19 years (2004-2022), there has been a significant increase in the number of journal articles that center on AM in supply chains. Through an extensive analysis of 341 published papers, five main research themes were identified: manufacturing, environment, costs, logistics, and maintenance. The identification of a gap in research in regional locations is significant as they often face unique challenges in their supply chains, such as limited access to technology and required infrastructure and the availability of resources. These challenges may have a different impact on the implementation of AM. Further, the possible impact of using AM in the recovery of RSCs after the COVID-19 pandemic is substantial and can bring about several positive sustainable changes, including increased responsiveness to changing demands, shorter production lead times, lower material usage and waste, customizability, localized production, energy efficiency, and reduced carbon dioxide and gas emissions. |
| Author Keywords |
Logistics; Supply chains; Regions; 3D printing; Industry 4.0; Sustainable development; Circular economy; Cleaner production |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001074406700001 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Industrial |
| Research Area |
Computer Science; Engineering |
| PDF |
https://doi.org/10.1016/j.cie.2023.109600
|