A sensor-driven operations and maintenance planning approach for large-scale leased manufacturing systems-Reference-Cited by-同舟云学术

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A sensor-driven operations and maintenance planning approach for large-scale leased manufacturing systems

Published:2024-05-07 Issue: Volume: Page:1-18
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Karakaya Şakir¹²^ORCID,Yildirim Murat¹^ORCID,Gebraeel Nagi³,Xia Tangbin⁴

Affiliation:

1. Industrial and Systems Engineering Department, Wayne State University, Detroit, MI, USA

2. Ministry of Industry and Technology, Ankara, Türkiye

3. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA

4. Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2347564

Reference51 articles.

1. Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups

2. An integrated optimization framework for multi-component predictive analytics in wind farm operations & maintenance

3. Modelling and optimizing sequential imperfect preventive maintenance

4. Stochastic Optimization of Maintenance and Operations Schedules Under Unexpected Failures

5. The signal model: A model for competing risks of opportunistic maintenance

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