Discovering critical KPI factors from natural language in maintenance work orders
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DOI: 10.1007/s10845-021-01772-5
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References listed on IDEAS
- Li Li & Yong Wang & Kuo-Yi Lin, 2021. "Preventive maintenance scheduling optimization based on opportunistic production-maintenance synchronization," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 545-558, February.
- Jyrki Savolainen & Michele Urbani, 2021. "Maintenance optimization for a multi-unit system with digital twin simulation," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1953-1973, October.
- Swanson, Laura, 2001. "Linking maintenance strategies to performance," International Journal of Production Economics, Elsevier, vol. 70(3), pages 237-244, April.
- Michael Buckland & Fredric Gey, 1994. "The relationship between Recall and Precision," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(1), pages 12-19, January.
- Andrea Saltelli, 2002. "Sensitivity Analysis for Importance Assessment," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 579-590, June.
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- Marko Orošnjak & Dragoljub Šević, 2023. "Benchmarking Maintenance Practices for Allocating Features Affecting Hydraulic System Maintenance: A West-Balkan Perspective," Mathematics, MDPI, vol. 11(18), pages 1-30, September.
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Keywords
Maintenance; Key performance indicators; Natural language processing; Intelligence augmentation; Artificial intelligence;All these keywords.
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