The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context
Open accessAbstract
Abstract As the Industry 4.0 takes shape, human operators experience an increased complexity of their daily tasks: they are required to be highly flexible and to demonstrate adaptive capabilities in a very dynamic working environment. It calls for tools and approaches that could be easily embedded into everyday practices and able to combine complex methodologies with high usability requirements. In this perspective, the proposed research work is focused on the design and development of a practical solution, called Sophos-MS, able to integrate augmented reality contents and intelligent tutoring systems with cutting-edge fruition technologies for operators’ support in complex man-machine interactions. After establishing a reference methodological framework for the smart operator concept within the Industry 4.0 paradigm, the proposed solution is presented, along with its functional and non-function requirements. Such requirements are fulfilled through a structured design strategy whose main outcomes include a multi-layered modular solution, Sophos-MS, that relies on Augmented Reality contents and on an intelligent personal digital assistant with vocal interaction capabilities. The proposed approach has been deployed and its training potentials have been investigated with field experiments. The experimental campaign results have been firstly checked to ensure their statistical relevance and then analytically assessed in order to show that the proposed solution has a real impact on operators’ learning curves and can make the difference between who uses it and who does not.
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Cites
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
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Opportunities of Sustainable Manufacturing in Industry 4.0
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A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766 · cited 1×
“For manufacturing enterprises maturity assessment, a quite general and comprehensive approach can be found in Schumacher et al (2016).”
MethodSmart manufacturing: Past research, present findings, and future directions
Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., Kim, B. H., & Noh, S. D. (2016) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-016-0015-5 · Cited by 1,362
A Categorical Framework of Manufacturing for Industry 4.0 and Beyond
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Holistic Approach for Human Resource Management in Industry 4.0
Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.05.102 · Cited by 951
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Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production
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Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment
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Cited by
Industry 4.0 technologies: Implementation patterns in manufacturing companies
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.01.004 · Cited by 2,958
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Industry 4.0, digitization, and opportunities for sustainability
Ghobakhloo, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119869 · Cited by 2,115
Industry 5.0: Prospect and retrospect
Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., & Wang, L. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.09.017 · Cited by 1,300
Ghobakhloo, M., Iranmanesh, M., Grybauskas, A., Vilkas, M., & Petraitė, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2867 · Cited by 462
Metadata
- Authors
- Longo, F., Nicoletti, L., & Padovano, A.
- Venue
- Computers & Industrial Engineering
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 113
- Pages
- 144-159
- ISSN
- 0360-8352 (ISSN-L)
- OpenAlex
- W2755253778
- Cited by
- 559
- References
- 28
- FWCI
- 17.86
- Type
- journal article
- Language
- en
- Open access
- green
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- Longo, F., Nicoletti, L., & Padovano, A. (2017). Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2017.09.016
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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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