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    Area of Science:

    • Construction Management
    • Operations Research
    • Industrial Engineering

    Background:

    • Construction projects face challenges in coordinating prefabrication and on-site assembly.
    • Just-in-Time (JIT) philosophy offers potential for optimizing production schedules.
    • Efficient scheduling is crucial for minimizing costs and delays in large-scale infrastructure projects.

    Purpose of the Study:

    • To develop a JIT precast production scheduling model for steel box girders.
    • To assist fabricators in coordinating factory prefabrication and on-site assembly.
    • To minimize total early/tardy costs in construction projects.

    Main Methods:

    • A job batching algorithm (JBA) to group production tasks.
    • An optimal shifting algorithm (OSA) to determine optimal batch start times.
    • A dominance rule-based genetic algorithm (DBGA) for optimal job sequencing and scheduling.

    Main Results:

    • The proposed model and algorithms effectively minimize early/tardy costs.
    • The DBGA demonstrates superior effectiveness and efficiency compared to traditional methods.
    • A case study on the Hong Kong-Zhuhai-Macau bridge project validates the approach.

    Conclusions:

    • The developed JIT scheduling model and algorithms provide a robust method for precast production planning.
    • Construction practitioners can utilize this model for improved decision-making in scheduling.
    • The study highlights the benefits of integrating JIT principles with advanced algorithms in construction management.