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Related Experiment Video

Updated: Apr 15, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

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Mixture Pulsation Model-Based Decision-Making for Resource-Efficient Scheduling in Large-Scale Assembly Lines.

Hongrui Gao, Yingwei Zhang, Chun-Yi Su

    IEEE Transactions on Cybernetics
    |April 13, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a resource-efficient scheduling method for large-scale assembly production. The mixture pulsation model (DMMPM) optimizes resource allocation and production rhythm, reducing costs and improving decision-making.

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    Area of Science:

    • Industrial Engineering
    • Operations Research
    • Manufacturing Systems

    Background:

    • Large-scale assembly production faces challenges in resource allocation, workstation coordination, and congestion.
    • Massive scale, complex tasks, and fluctuating constraints exacerbate these issues.

    Purpose of the Study:

    • To propose a resource-efficient scheduling decision-making method for large-scale assembly production.
    • To address inefficient resource allocation, coordination difficulties, and congestion.

    Main Methods:

    • Developed a mixture pulsation model (DMMPM) for resource-efficient scheduling.
    • Defined quantitative criteria for pulsation rhythm (takt-time) consistency.
    • Designed a spatiotemporally constrained task-allocation method.
    • Proposed a bi-level 'scheduling-collaboration' architecture.

    Main Results:

    • The DMMPM integrates production rhythm alignment with workforce optimization.
    • Task allocation balances interstation resource demand conflicts and rhythm synchronization.
    • The bi-level architecture enables decentralized decision-making and global optimization.
    • Validated model using ILOG CPLEX.

    Conclusions:

    • DMMPM significantly reduces integrated scheduling costs in large-scale aircraft manufacturing.
    • The method demonstrates superior decision-making capability and improved control of pulsation rhythm compared to conventional approaches.