Data-driven review of additive manufacturing on supply chains: Regionalization, key research themes and future directions
Akbari, Mohammadreza (2023) Data-driven review of additive manufacturing on supply chains: Regionalization, key research themes and future directions. Computers & Industrial Engineering, 184. 109600.
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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.
Item ID: | 80431 |
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Item Type: | Article (Research - C1) |
ISSN: | 1879-0550 |
Keywords: | Logistics, Supply chains, Regions, 3D printing, Industry 4.0, Sustainable development, Circular economy, Cleaner production |
Copyright Information: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Date Deposited: | 13 Sep 2023 04:45 |
FoR Codes: | 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3509 Transportation, logistics and supply chains > 350909 Supply chains @ 60% 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350307 Technology management @ 40% |
SEO Codes: | 15 ECONOMIC FRAMEWORK > 1503 Management and productivity > 150302 Management @ 100% |
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