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PUBLICATIONS

Prognostics and Health Management to Improve Resilient Manufacturing

Published

Author(s)

Michael P. Brundage, Brian A. Weiss

Abstract

Manufacturers need to be resilient to effectively mitigate substantial disruptions to manufacturing operations so they may remain competitive. Disruptions resulting from the COVID-19 global pandemic have caused manufacturers to experience new challenges, including 1) working with reduced in-person operations, 2) retasking workers into new roles, and 3) reconfiguring their equipment and processes to yield completely new product lines. Improved monitoring, diagnostic, and prognostic technologies and methods (collectively known as Prognostics and Health Management (PHM)) can help address these challenges.
Citation
The ASTM Journal of Smart and Sustainable Manufacturing
Pub Type
Journals

Download Paper

https://doi.org/10.1520/SSMS20200049
Local Download

Keywords

PHM, Maintenance, NLP, Resilient Manufacturing
Process improvement, Natural language processing, Manufacturing, Human language technology and Artificial intelligence

Citation

Brundage, M. and Weiss, B. (2020), Prognostics and Health Management to Improve Resilient Manufacturing, The ASTM Journal of Smart and Sustainable Manufacturing, [online], https://doi.org/10.1520/SSMS20200049 (Accessed October 11, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created October 22, 2020, Updated November 20, 2020
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