An optimisation approach for multi-floor facility layout design using flexible bays

Forough Enayaty-Ahangar, Behrooz Karimi, Negin Enayaty Ahangar, Alireza Sheikh Zadeh

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We present the problem of optimising a multi-floor facility layout using the flexible bay structure that assigns block-shaped departments in parallel bays. A mixed-integer linear programming formulation is proposed to solve this problem. The decisions are determining: 1) rectangular land dimensions; 2) the number of floors; 3) each floor’s layout with the bay structure. The proposed formulation minimises the total cost associated with the layout that includes land cost, floor construction cost, elevator installation cost, and material handling cost within and among floors. To address the challenge inherited from the problem’s combinatorial dynamics, we develop a genetic algorithm utilising novel crossovers and mutations. The model and the solution approach are tested on a suite of problems from the literature. Our computational results verify the model and demonstrate that the solution approach is able to find high-quality solutions for large-scale problems in less computational time compared to the standard software.

    Original languageEnglish
    Pages (from-to)244-270
    Number of pages27
    JournalInternational Journal of Industrial and Systems Engineering
    Volume45
    Issue number2
    DOIs
    StatePublished - 2023

    Keywords

    • facility layout
    • genetic algorithm
    • metaheuristics
    • mixed-integer linear programming
    • optimisation

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