The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Blockchain in Additive Manufacturing and its Impact on Supply Chains
Abstract
Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.
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Citations
Cites
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Blockchains and smart contracts for the internet of things
Christidis, K., & Devetsikiotis, M. (2016) · IEEE Access · doi:10.1109/access.2016.2566339 · Cited by 4,552
The Delphi Technique: Making Sense of Consensus
Hsu, C.-C., & Sandford, B. A. (2007) · University of Massachusetts Amherst · doi:10.7275/pdz9-th90 · Cited by 4,500
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
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Where Is Current Research on Blockchain Technology?—A Systematic Review
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1 Blockchain’s roles in meeting key supply chain management objectives
Kshetri, N. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.005 · Cited by 2,149
Consensus measurement in Delphi studies
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Cited by
A review of Blockchain Technology applications for financial services
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Khan, S. (2022) · BenchCouncil Transactions on Benchmarks, Standards and Evaluations · doi:10.1016/j.tbench.2022.100073 · Cited by 470
Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2853 · Cited by 404
RetractedBlockchain-Secured Smart Manufacturing in Industry 4.0: A Survey
Leng, J., Ye, S., Zhou, M., Zhao, J. L., Liu, Q., Guo, W., Cao, W., & Fu, L. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2020.3040789 · Cited by 284
Flechsig, C., Anslinger, F., & Lasch, R. (2022) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2021.100718 · Cited by 227
Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks
Gupta, N., Tiwari, A., Bukkapatnam, S. T. S., & Karri, R. (2020) · IEEE Access · doi:10.1109/access.2020.2978815 · Cited by 144
“Developments have taken place in mitigating risks of counterfeiting [18], [19], transparency [20], [21] and the manufacturing process [22], [23] in the AM security.”
Background
Metadata
- Authors
- Kurpjuweit, S., Schmidt, C. G., Klöckner, M., & Wagner, S. M.
- Venue
- Journal of Business Logistics
- Publisher
- Wiley
- Published
- 2019-10-27
- Volume
- 42
- Issue
- 1
- Pages
- 46-70
- ISSN
- 0735-3766 (ISSN-L)
- 2158-1592
- OpenAlex
- W2981377653
- Cited by
- 305
- References
- 12
- FWCI
- 38.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kurpjuweit, S., Schmidt, C. G., Klöckner, M., & Wagner, S. M. (2021). Blockchain in Additive Manufacturing and its Impact on Supply Chains. Journal of Business Logistics. https://doi.org/10.1111/jbl.12231
Data sources
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.
