Vol. 4 No. 2 (2024): Journal of AI-Assisted Scientific Discovery
Articles

The Role of AI-Driven Predictive Maintenance in Reducing Downtime in American Manufacturing

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  • Dr. Thomas Meyer
Dr. Thomas Meyer
Associate Professor of Computer Science, University of Applied Sciences Upper Austria
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Published 10-10-2024

Keywords

  • Predictive Maintenance,
  • Reducing Downtime,
  • Manufacturing
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Thomas Meyer, “The Role of AI-Driven Predictive Maintenance in Reducing Downtime in American Manufacturing”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, pp. 280–297, Oct. 2024, Accessed: Nov. 15, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/162

Abstract

There is evidence that there continues to be an ongoing revitalization of American manufacturing. Still, the U.S. appears to have lost a significant part in the global market related to products with thinner profit margins (staple products). While producing a larger amount of staples often leads to increased profits, it tends to lead to decreased profit per unit. Cutting corners in staple production, however, adds an even greater cost. Because of the lower profit margin for each part, the greatest cost in making these products is often downtime to repair or maintain aging machinery, rather than the cost of equipment failure itself. Given that American companies may never be able to compete on price alone for large runs of standard products, this essay focuses on some ways to reduce the downtime involved in fixing and maintaining aging machinery.

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