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LiveGantt: Interactively Visualizing a Large Manufacturing Schedule.

Jaemin Jo, Jaeseok Huh, Jonghun Park

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2015
    PubMed
    Summary
    This summary is machine-generated.

    LiveGantt is a new interactive tool that enhances schedule visualization for complex, concurrent tasks. It overcomes limitations of traditional Gantt charts, offering improved scalability and user interaction for better schedule management.

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    Area of Science:

    • Computer Science
    • Operations Research
    • Human-Computer Interaction

    Background:

    • Traditional Gantt charts lack scalability and interactivity for complex, concurrent schedules.
    • Existing visualization tools struggle to provide flexible exploration and modification of large schedules.

    Purpose of the Study:

    • Introduce LiveGantt, a novel interactive schedule visualization tool.
    • Enhance scalability, explorability, and reschedulability of complex schedules.
    • Provide flexible interaction methods for schedule analysis and modification.

    Main Methods:

    • Developed new algorithms for resource reordering and task aggregation to improve scalability.
    • Implemented four coordinated views and filtering techniques for flexible schedule exploration.
    • Integrated an efficient rescheduler for instantaneous schedule modification.

    Main Results:

    • LiveGantt demonstrates improved scalability and interactivity compared to conventional Gantt charts.
    • Case study with industrial engineering researchers showed effective schedule overview and multi-perspective exploration.
    • Participants utilized LiveGantt to identify and implement schedule enhancements.

    Conclusions:

    • LiveGantt offers a powerful solution for visualizing and managing highly-concurrent large schedules.
    • The tool's novel interactions and scalability facilitate better understanding and modification of complex schedules.
    • LiveGantt shows significant potential for applications in fields like manufacturing scheduling.