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Industrial Big Data as a Result of IoT Adoption in Manufacturing
Open accessAbstract
The radical evolution of internet into a network of interconnected objects that create a smart environment is characterized by the term Internet of Things (IoT). The adoption of IoT in manufacturing enables the transition of tradition manufacturing systems into modern digitalized ones, generating significant economic opportunities through industries re-shaping. Industrial IoT empowers the modern companies to adopt new data-driven strategies and handle the global competitive pressure more easily. However, the adoption of IoT, increases the total volume of the generated data transforming the industrial data into industrial Big Data. The work demonstrated in this paper presents how the adoption of IoT in manufacturing, considering sensory systems and mobile devices, will generate industrial Big Data. Moreover, a developed IoT application is presented showing how real industrial data can be generated leading to Industrial Big Data. The proposed methodology is validated in a real life case study from a mould-making industry.
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Cites
Beyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226
Cited by
Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716
Internet of Things is a revolutionary approach for future technology enhancement: a review
Kumar, S., Tiwari, P., & Zymbler, M. (2019) · Journal of Big Data · doi:10.1186/s40537-019-0268-2 · Cited by 1,253
The role of big data analytics in Internet of Things
Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., & Vasilakos, A. V. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.06.013 · Cited by 629
Smart Packaging: Opportunities and Challenges
Schaefer, D., & Cheung, W. M. (2018) · Procedia CIRP · doi:10.1016/j.procir.2018.03.240 · Cited by 365
A review of industrial big data for decision making in intelligent manufacturing
Li, C., Chen, Y., & Shang, Y. (2022) · Engineering Science and Technology, an International Journal · doi:10.1016/j.jestch.2021.06.001 · Cited by 325
Metadata
- Authors
- Mourtzis, D., Vlachou, E., & Milas, N.
- Venue
- Procedia CIRP
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 55
- Pages
- 290-295
- ISSN
- 2212-8271 (ISSN-L)
- OpenAlex
- W2548108532
- Cited by
- 452
- References
- 1
- FWCI
- 41.26
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Mourtzis, D., Vlachou, E., & Milas, N. (2016). Industrial Big Data as a Result of IoT Adoption in Manufacturing. Procedia CIRP. https://doi.org/10.1016/j.procir.2016.07.038
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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