AI大模型赋能的工业工程学科:挑战、应用、趋势及人才培养

    Empowering Industrial Engineering with AI Large Models: Challenges, Applications, Trends, and Talent Training

    • 摘要: 为了深入探讨人工智能(artificial intelligence,AI)大模型对工业工程学科创新发展的影响与赋能,本文首先概述了工业工程与人工智能结合的历史进程,并分析了在AI大模型时代,工业工程在应对生产制造和服务系统中的复杂问题时面临的挑战与机遇。随后介绍了AI大模型在工业工程领域的应用现状,包括大模型在生产制造、供应链管理以及服务业等具体场景中的创新应用,并讨论了AI大模型在工业领域落地与应用的未来发展趋势。最后针对AI赋能的工业工程人才培养提出若干建议,强调了创新思维和实践能力的重要性。

       

      Abstract: To deeply explore the impact and empowerment of artificial intelligence (AI) large models on the innovative development of industrial engineering, this paper first briefly introduces the historical integration of industrial engineering and AI, analyzing the challenges and opportunities faced by industrial engineering in addressing complex problems in manufacturing and service systems in the era of AI large models. Then, the current applications of AI large models in industrial engineering are introduced, including their innovative applications in manufacturing, supply chain management, and service industries. The future trends in the implementation of AI large models in the industrial engineering are also discussed. Finally, the paper proposes several suggestions for talent training in industrial engineering empowered by AI, emphasizing the importance of innovative thinking and practical skills.

       

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