A comprehensive approach to UA facility layout design using genetic algorithm

Facility layout planning is a quantum leap for the production industry to realise the low entropy, widely applied to the unequal area facility layout problems (UA-FLPs). This paper aims at the optimisation of UA-facility layout in the flexible bays structure (FBS) to maximise the adjacency requirements of facility types for the production layout. The FBS is a most commonly used structure flexible to allocate the facilities in the bays of unequal areas permitting empty space in the total area of the layout. The proposed mixed integer programming model has been formulated to ensure; minimum side length, confined aspect ratio of facility types, and optimal space utilisation in the total area of facility layout. The genetic algorithm based heuristic has been used to search the discrete solution space in a feasible time span. The optimal results obtained are mapped with the best-known numerical instances reported in the literature to approve the efficacy of proposed solution approach.

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Publication Details

Journal
International Journal of Industrial and Systems Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijise.2025.147681
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
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article

A comprehensive approach to UA facility layout design using genetic algorithm

Kamal Deep
International Journal of Industrial and Systems Engineering
Advanced Manufacturing and Logistics Optimization
article

A comprehensive approach to UA facility layout design using genetic algorithm

Kamal Deep
article en

Abstract

Facility layout planning is a quantum leap for the production industry to realise the low entropy, widely applied to the unequal area facility layout problems (UA-FLPs). This paper aims at the optimisation of UA-facility layout in the flexible bays structure (FBS) to maximise the adjacency requirements of facility types for the production layout. The FBS is a most commonly used structure flexible to allocate the facilities in the bays of unequal areas permitting empty space in the total area of the layout. The proposed mixed integer programming model has been formulated to ensure; minimum side length, confined aspect ratio of facility types, and optimal space utilisation in the total area of facility layout. The genetic algorithm based heuristic has been used to search the discrete solution space in a feasible time span. The optimal results obtained are mapped with the best-known numerical instances reported in the literature to approve the efficacy of proposed solution approach.

International Journal of Industrial and Systems EngineeringVol. 50(3)
Guru Jambheshwar University of Science and Technology (IN)
Openalex Percentile: Top 74%
Advanced Manufacturing and Logistics Optimization
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