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MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands.

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    This study introduces a new hospital facility layout problem (FLP) considering center-islands, previously unaddressed. A novel hybrid algorithm effectively optimizes room arrangements and island locations to improve hospital efficiency.

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    Area of Science:

    • Operations Research
    • Healthcare Management
    • Industrial Engineering

    Background:

    • Traditional hospital facility layout problems (FLPs) arrange rooms along corridors, often overlooking the impact of central structures.
    • Hospital designs frequently incorporate center-islands to reduce internal flow costs, a factor not previously integrated into FLP models.

    Purpose of the Study:

    • To address the novel facility layout problem (FLP) in hospitals that includes center-islands.
    • To develop and validate a computational methodology for optimizing hospital layouts with center-islands.

    Main Methods:

    • A mixed-integer programming formulation was established to model the proposed FLP with center-islands.
    • A hybrid optimization approach combining a multiobjective evolutionary algorithm based on decomposition (MOEA/D) with linear programming was developed.
    • MOEA/D was enhanced with tabu search and local search components to improve its optimization capabilities.

    Main Results:

    • The proposed methodology effectively optimizes the sequencing of facilities and the precise placement of center-islands.
    • Experimental results demonstrate the capability of the integrated MOEA/D and linear programming approach in solving the complex FLP.

    Conclusions:

    • The developed methodology provides an effective solution for hospital facility layout problems incorporating center-islands.
    • This research contributes a novel approach to hospital design optimization, considering previously overlooked architectural features.