The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Toward open manufacturing: A cross-enterprises knowledge and services exchange framework based on blockchain and edge computing
Abstract
Purpose: The purpose of this paper is to propose a cross-enterprises framework to achieve a higher level of sharing of knowledge and services in manufacturing ecosystems. Design/methodology/approach: The authors describe the development of the emerging open manufacturing and discuss the model of knowledge creation processes of manufacturers. The authors present a decentralized framework based on blockchain and edge computing technologies, which consists of a customer layer, an enterprise layer, an application layer, an intelligence layer, a data layer, and an infrastructure layer. And a case study is provided to illustrate the effectiveness of the framework. Findings: The authors discuss that the manufacturing ecosystem is changing from integrated and centralized systems to shared and distributed systems. The proposed framework incorporates the recent development in blockchain and edge computing that can meet the secure and distributed requirements for the sharing of knowledge and services in manufacturing ecosystems. Practical implications: The proposed framework provides a more secure and controlled way to share knowledge and services, thereby supports the company to develop scalable and flexible business at a lower cost, and ultimately improves the overall quality, efficiency, and effectiveness of manufacturing services. Originality/value: The proposed framework incorporates the recent development in edge computing technologies to achieve a flexible and distributed network. With the blockchain technology, it provides standards and protocols for implementing the framework and ensures the security issues. Not only information can be shared, but the framework also supports in the exchange of knowledge and services so that the parties can contribute their parts.
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Citations
Cites
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276 · cited 1×
“In the view of industrial revolutions or based on the breakthrough of industrial technologies, manufacturing ecosystems can be divided into Industry 1.0, 2.0, 3.0, and 4.0 (Lasi et al., 2014).”
BackgroundInfluentialSECI, Ba and leadership: A unified model of dynamic knowledge creation
Nonaka, I., Toyama, R., & Konno, N. (2000) · Long Range Planning · doi:10.1016/s0024-6301(99)00115-6 · Cited by 4,135
The emergence of edge computing
Satyanarayanan, M. (2017) · Computer · doi:10.1109/mc.2017.9 · Cited by 2,832
Where Is Current Research on Blockchain Technology?—A Systematic Review
Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0163477 · Cited by 2,317
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges
Roman, R., Lopez, J., & Mambo, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2016.11.009 · Cited by 1,338
Cited by
Tandon, A., Dhir, A., Islam, A. K. M. N., & Mäntymäki, M. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103290 · Cited by 439
Clohessy, T., & Acton, T. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-08-2018-0365 · Cited by 436
Blockchain-based life cycle assessment: An implementation framework and system architecture
Zhang, A., Zhong, R. Y., Farooque, M., Kang, K., & Venkatesh, V. G. (2020) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2019.104512 · Cited by 319
Queiroz, M. M., Fosso Wamba, S., Machado, M. C., & Telles, R. (2020) · Business Process Management Journal · doi:10.1108/bpmj-03-2019-0134 · Cited by 114
Metadata
- Authors
- Li, Z., Wang, W. M., Liu, G., Liu, L., He, J., & Huang, G. Q.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2018-02-05
- Volume
- 118
- Issue
- 1
- Pages
- 303-320
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2779399013
- Cited by
- 258
- References
- 7
- FWCI
- 26.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, Z., Wang, W. M., Liu, G., Liu, L., He, J., & Huang, G. Q. (2018). Toward open manufacturing: A cross-enterprises knowledge and services exchange framework based on blockchain and edge computing. Industrial Management & Data Systems. https://doi.org/10.1108/imds-04-2017-0142
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.