Explainable Artificial Intelligence in Manufacturing Operations: A Bibliometric Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71633-1_18
Reference16 articles.
1. Yu, W., Gu, Y., Dai, J.: Industry 4.0-enabled ESG reporting: a case from a Chinese energy company. Forthcoming J. Emerg. Technol. Account. (2022)
2. Ferrazzi, M., Frecassetti, S., Bilancia, A., et al.: Investigating the influence of lean manufacturing approach on environmental performance: a systematic literature review. Int. J. Adv. Manuf. Technol. (2024). https://doi.org/10.1007/s00170-024-13215-5
3. Frecassetti, S., Kassem, B., Kundu, K., Ferrazzi, M., Portioli-Staudacher, A.: Introducing lean practices through simulation: a case study in an Italian SME. Qual. Manag. J. 30(2), 90–104 (2023)
4. Teixeira, P., Amorim, E.V., Nagel, J., Filipe, V.: An overview of explainable artificial intelligence in the industry 4.0 context. In: Silva, F.J.G., Pereira, A.B., Campilho, R.D.S.G. (eds.) Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. FAIM 2023. LNME. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-38241-3_17
5. Sofianidis, G., Rožanec, J.M., Mladenic, D., Kyriazis, D.: A review of explainable artificial intelligence in manufacturing. Trust. Artific. Intell. Manufac. 93 (2021)
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