Incorporating Machine Learning Methods for Predictive Maintenance and Fuzzy Inventory Optimization-Reference-Cited by-同舟云学术

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Incorporating Machine Learning Methods for Predictive Maintenance and Fuzzy Inventory Optimization

Published:2024 Issue: Volume: Page:666-678
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Shobana S.^ORCID,Wavare Mahesh Sahebrao^ORCID,Kalaiarasi K.^ORCID,Bhaskar T.^ORCID,Anand M. Clement Joe^ORCID,Sindhuja N.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-67195-1_74

Reference30 articles.

1. Brown, A., Wilson, J.: Machine learning techniques for predictive maintenance: an empirical study. J. Eng. Manag. 22(1), 134–147 (2024)

2. Brown, C.D., Garcia, E.: Enhancing equipment reliability through predictive maintenance: a case study of Siemens turbines. J. Manuf. Syst. 52, 78–89 (2024)

3. Clark, D.E., Adams, K.L.: Predictive maintenance for aircraft engines: a case study of Rolls-Royce. Aviat. Maintenance Mag. 12(2), 67–79 (2024)

4. Garcia, F., Patel, N.: Advanced analytics for inventory optimization: a review of techniques and applications. Int. J. Prod. Res. 50(1), 34–47 (2024)

5. Hernandez, G., Martinez, E.: Inventory optimization models for multi-echelon supply chains: a review. Eur. J. Oper. Res. 41(3), 378–391 (2024)

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