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Single row layout models

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  • Keller, Birgit
  • Buscher, Udo

Abstract

The single row layout problem (SRLP) consists of finding the most efficient arrangement of a given number of facilities or machines along one side of the material handling path, a topic that has enjoyed lasting interest for the past 45 years. As well as for use in manufacturing environments, the SRLP can serve to arrange rooms along a corridor in, e.g., hospitals and supermarkets. Besides its practical relevance, the problem is also interesting from a formal point of view due to its NP-hardness and therefore attracts the attention of many researchers. Beginning with the year 2000, this paper systematically reviews 82 articles focusing on single row layout problems. After featuring the relevance and timeliness, the SRLP is first positioned within the superordinate facility layout problem (FLP). Thereafter, the articles are classified according to topic of the paper, model formulation and representation, type of input data, objective function, and solution methods. We pay particular attention to recent developments in model formulation and solution methods to elaborate some possible directions and opportunities for further research.

Suggested Citation

  • Keller, Birgit & Buscher, Udo, 2015. "Single row layout models," European Journal of Operational Research, Elsevier, vol. 245(3), pages 629-644.
    • Handle: RePEc:eee:ejores:v:245:y:2015:i:3:p:629-644
    DOI: 10.1016/j.ejor.2015.03.016
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    References listed on IDEAS

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    25. Ali Azadeh & Maryam Nouri Roozbahani & Mohsen Moghaddam, 2013. "Optimisation of complex and large-sized single-row facility layout problems with a unique hybrid meta-heuristic framework," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 16(1), pages 38-67.
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    28. Kothari, Ravi & Ghosh, Diptesh, 2012. "Path Relinking for Single Row Facility Layout," IIMA Working Papers WP2012-05-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
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    Cited by:

    1. Anjos, Miguel F. & Vieira, Manuel V.C., 2017. "Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions," European Journal of Operational Research, Elsevier, vol. 261(1), pages 1-16.
    2. Dahlbeck, Mirko & Fischer, Anja & Fischer, Frank, 2020. "Decorous combinatorial lower bounds for row layout problems," European Journal of Operational Research, Elsevier, vol. 286(3), pages 929-944.
    3. Palubeckis, Gintaras, 2015. "Fast local search for single row facility layout," European Journal of Operational Research, Elsevier, vol. 246(3), pages 800-814.
    4. Dahlbeck, Mirko & Fischer, Anja & Fischer, Frank & Hungerländer, Philipp & Maier, Kerstin, 2023. "Exact approaches for the combined cell layout problem," European Journal of Operational Research, Elsevier, vol. 305(2), pages 530-546.
    5. Anjos, Miguel F. & Fischer, Anja & Hungerländer, Philipp, 2018. "Improved exact approaches for row layout problems with departments of equal length," European Journal of Operational Research, Elsevier, vol. 270(2), pages 514-529.
    6. Gintaras Palubeckis & Armantas Ostreika & Jūratė Platužienė, 2022. "A Variable Neighborhood Search Approach for the Dynamic Single Row Facility Layout Problem," Mathematics, MDPI, vol. 10(13), pages 1-27, June.
    7. Pourvaziri, Hani & Pierreval, Henri, 2017. "Dynamic facility layout problem based on open queuing network theory," European Journal of Operational Research, Elsevier, vol. 259(2), pages 538-553.
    8. Mehmet Burak Şenol & Ekrem Alper Murat, 2023. "A sequential solution heuristic for continuous facility layout problems," Annals of Operations Research, Springer, vol. 320(1), pages 355-377, January.
    9. Dahlbeck, Mirko, 2021. "A mixed-integer linear programming approach for the T-row and the multi-bay facility layout problem," European Journal of Operational Research, Elsevier, vol. 295(2), pages 443-462.
    10. Andreas Hottenrott & Martin Grunow, 2019. "Flexible layouts for the mixed-model assembly of heterogeneous vehicles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 943-979, December.

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