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

The Role of AI-Driven Decision Support Systems in Optimizing U.S. Defense Manufacturing Operations

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  • Dr. Victoria Popović
Dr. Victoria Popović
Associate Professor of Information Systems, University of Belgrade, Serbia
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Published 28-08-2024

Keywords

  • Decision Support Systems,
  • Defense Manufacturing
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Victoria Popović, “The Role of AI-Driven Decision Support Systems in Optimizing U.S. Defense Manufacturing Operations”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, pp. 211–229, Aug. 2024, Accessed: Nov. 22, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/158

Abstract

The application of an AI-driven decision support system can be used to help equip planners allocate the precise resources necessary to assist in the completion of manufacturing operations on time, all the time. As a component of the fourth iteration of the Industrial Revolution, these decision support systems, also termed extended reality (XR), are anticipated to provide the United States with an opportunity to revamp traditional manufacturing concepts and improve defense manufacturing operations. XR platforms consolidate real-time data from enterprise resource planning (ERP) and product lifecycle management (PLM) systems, advanced machine communications, and the cloud to report on the performance of one or many defense manufacturing operations.

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