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The impact of additive manufacturing on supply chains
Abstract
Purpose: The purpose of this paper is to offer empirical insights on emerging additive manufacturing (AM) processes, barriers to their adoption and a timeline of expected impacts on the supply chain in the manufacturing industry. Design/methodology/approach: A multi-stage survey study was conducted with a panel of 16 experts from industry and academia. Findings: Only five out of today’s seven AM processes are of future importance, as are two emerging key processes. In total, 15 barriers to their adoption are identified, all of which are expected to be gone within ten years. Eight propositions are derived postulating as to whether and when supply chain impacts can be expected in terms of changes to supply chain structure, customer centricity, logistics and supply chain capability. Research limitations/implications: “Soft” barriers are new to the literature, which has traditionally focused on “technical” barriers. Often-discussed barriers such as production speed and costs do not reflect the true concerns of the research panel. Furthermore, some of the supply chain implications discussed in both the academic literature and the media are found to be unlikely to materialize. Practical implications: The study summarizes AM processes, technologies, barriers and supply chain implications solicited from experts in the field. Originality/value: This is one of the first studies to make empirical contributions to a vastly conceptual discussion. It is also the first study to give insights on a timeline for barriers and supply chain implications.
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Citations
Cites
Gibson, I., Rosen, D., & Stucker, B. (2015) · doi:10.1007/978-1-4939-2113-3 · Cited by 3,299
Cited by
Defining Supply Chain Management: In the Past, Present, and Future
Min, S., Zacharia, Z. G., & Smith, C. D. (2019) · Journal of Business Logistics · doi:10.1111/jbl.12201 · Cited by 357
Why manufacturers adopt additive manufacturing technologies: The role of sustainability
Niaki, M. K., Torabi, S. A., & Nonino, F. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.019 · Cited by 298
Supply chain digitalization: past, present and future
Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2020) · Production Planning & Control · doi:10.1080/09537287.2019.1631461 · Cited by 292
Design for sustainable additive manufacturing: A review
Hegab, H., Khanna, N., Monib, N., & Salem, A. (2023) · Sustainable Materials and Technologies · doi:10.1016/j.susmat.2023.e00576 · Cited by 289
Stornelli, A., Ozcan, S., & Simms, C. (2021) · Research Policy · doi:10.1016/j.respol.2021.104229 · Cited by 268
Metadata
- Authors
- Durach, C. F., Kurpjuweit, S., & Wagner, S. M.
- Venue
- International Journal of Physical Distribution & Logistics Management
- Publisher
- Emerald
- Published
- 2017-11-06
- Volume
- 47
- Issue
- 10
- Pages
- 954-971
- ISSN
- 0960-0035 (ISSN-L)
- OpenAlex
- W2759190120
- Cited by
- 221
- References
- 1
- FWCI
- 11.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- Durach, C. F., Kurpjuweit, S., & Wagner, S. M. (2017). The impact of additive manufacturing on supply chains. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/ijpdlm-11-2016-0332
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.