Fuzzy traceability: using domain knowledge information to estimate the followed route of process instances in non-exhaustive monitoring environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01636-4.pdf
Reference45 articles.
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3. Alonso-Rorís, V. M., Álvarez-Sabucedo, L. M., Wanden-Berghe, C., Santos-Gago, J. M., & Sanz-Valero, J. (2016). Towards a mobile-based platform for traceability control and hazard analysis in the context of parenteral nutrition: Description of a framework and a prototype app. JMIR Research Protocols, 5(2), e57.
4. Alonso-Rorís, V. M., Santos-Gago, J. M., Álvarez-Sabucedo, L. M., Ramos-Merino, M., & Sanz-Valero, J. (2016). An ICT-based platform to monitor protocols in the healthcare environment. Journal of Medical Systems, 40(10), 225.
5. Arya, V., Deshmukh, S., & Bhatnagar, N. (2019). Product quality in an inclusive manufacturing system: Some considerations. Journal of Intelligent Manufacturing, 30(8), 2871–2884.
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