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Towards an AI-Integrated Knowledge Framework of Operations Research Education: Synergies and Challenges
Conference paper

Towards an AI-Integrated Knowledge Framework of Operations Research Education: Synergies and Challenges

Zongmin Li, Yuxiao Jiang and Benjamin Lev
The Nineteenth International Conference on Management Science and Engineering Management, pp 1149-1160
2025
DOI: https://doi.org/10.1007/978-981-95-1595-0_81

Abstract

Artificial intelligence Education Operations Research Optimization
This paper explores the necessity of integrating artificial intelligence (AI) technologies into operations research (OR) education. As challenges in fields such as supply chain management, healthcare, and logistics grow increasingly complex, traditional OR methods often struggle to handle high-dimensional data, uncertainty, and dynamic environments. AI technologies, including machine learning and deep learning, excel at processing large-scale data, identifying patterns, and making predictions, thereby effectively complementing OR methodologies. By incorporating AI into OR education, students are better equipped to address complex problems while bridging the gap between theory and practice. The paper also highlights the growing adoption of AI-driven OR solutions in industry, creating an urgent demand for professionals skilled in both OR and AI. Therefore, integrating AI into OR education is not merely a trend but a critical step to enhance problem-solving capabilities, foster innovation, and ensure the continued relevance of OR in the era of AI.

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