Application of Artificial Intelligence/Machine Learning to Operations Research

Technical Report · Tue Dec 31 23:00:00 EST 2024

DOI:https://doi.org/10.2172/2516868· OSTI ID:2516868

McKenzie, Taylor Klayges ^[1]; Abel, Kelsey Christina ^[1]; Flory, John Andrew ^[1]; Kelic, Andjelka ^[1]; Orr, Marilee Kay ^[1]; Reilly, Raymond Leo ^[1]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

This report examines the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on operations research, private industry, and government sectors, highlighting their applications in automating processes, enhancing decision-making, and optimizing complex systems. AI/ML technologies have revolutionized industries through predictive maintenance, supply chain optimization, and autonomous systems, while also advancing public safety and defense operations. However, challenges such as data integrity, model transparency, and the need for human oversight persist, particularly in high-consequence environments. The report emphasizes the critical role of explainable AI (XAI) and human-computer interaction models like Human-in-the-Loop (HITL) and Human-on-the-Loop (HOTL) in fostering trust and accountability. Balancing automation with ethical responsibility and transparency is essential for the continued successful integration of AI/ML into operational and strategic decision-making frameworks.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: NA0003525
• OSTI ID: 2516868
• Report Number(s): SAND--2025-00392
• Country of Publication: United States
• Language: English