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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Human-AI Collaboration in Production Management: A Framework for Decision Optimization Through Hybrid Intelligence

Human-AI Collaboration in Production Management: A Framework for Decision Optimization Through Hybrid Intelligence

Sauer, Carl René

Paperback

Series: Findings from Production Management Research

Business GeneralTechnology & EngineeringGeneral Computers

ISBN10: 3658510048
ISBN13: 9783658510046
Publisher: Springer Vieweg
Published: Feb 22 2026
Pages: 183
Weight: 0.56
Height: 0.44 Width: 5.83 Depth: 8.27
Language: English

The advent of artificial intelligence (AI) and machine learning (ML) has significantly transformed production management in industrial manufacturing by enabling data-driven decision-making. While human decision-making is valued for its adaptability and contextual understanding, AI-driven systems offer the advantage of faster, data-driven decisions. The concept of hybrid intelligence combines these two poles by utilizing the potential of AI without neglecting the necessary integration of human expertise. However, a structured method for determining the appropriate degree of automation - defining the division of tasks between humans and AI for each decision - is still lacking. Thus, this thesis develops a framework to determine the optimal level of Human-AI collaboration for production management use cases. This framework enables organizations to leverage AI effectively across various scenarios, complementing human expertise to enhance operational efficiency and decision-making processes. By offering a systematic method, the framework helps avoid suboptimal AI/ML deployments and supports organizations in harnessing hybrid intelligence for innovative and future-ready production management.

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