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Literature Survey on Automatic Pipe Routing

Author

Listed:
  • M. Blokland

    (Dutch National Institute for Mathematics and Computer Sciences
    Vrije Universiteit Amsterdam)

  • R. D. van der Mei

    (Dutch National Institute for Mathematics and Computer Sciences
    Vrije Universiteit Amsterdam)

  • J. F. J. Pruyn

    (TU Delft)

  • J. Berkhout

    (Vrije Universiteit Amsterdam)

Abstract

Piping systems are common in many architectures and designing such systems is often a complex task. Design automation of piping systems is therefore a universal research subject. Nonetheless, these piping systems are often still designed by hand as a result of their complexity. Consequently, costs associated with piping design are high, especially for large-scale architectures like ships and chemical plants. The goal of automatic pipe routing is to reduce the design time and associated costs of a piping system by automating the routing of these pipes. This survey provides an overview of the current state of automatic pipe routing literature to assist researchers and practitioners to further the study of automatic pipe routing. This is done by pinpointing and explaining the most important obstacles that stand in the way of making a full-scale automatic pipe routing method. The barriers that are analyzed are related to both model representation and optimization complexity. Finally, a synthesis table of research papers on automatic pipe routing is provided based on the handling of the aforementioned barriers and other general features of automatic pipe routing methodology. The survey concludes by discussing directions for further research.

Suggested Citation

  • M. Blokland & R. D. van der Mei & J. F. J. Pruyn & J. Berkhout, 2023. "Literature Survey on Automatic Pipe Routing," SN Operations Research Forum, Springer, vol. 4(2), pages 1-56, June.
    • Handle: RePEc:spr:snopef:v:4:y:2023:i:2:d:10.1007_s43069-023-00208-5
    DOI: 10.1007/s43069-023-00208-5
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    References listed on IDEAS

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    1. Gustavo Paiva Weyne Rodrigues & Luis Henrique Magalhães Costa & Guilherme Marques Farias & Marco Aurélio Holanda Castro, 2019. "A Depth-First Search Algorithm for Optimizing the Gravity Pipe Networks Layout," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4583-4598, October.
    2. Shiono, Naoshi & Suzuki, Hisatoshi & Saruwatari, Yasufumi, 2019. "A dynamic programming approach for the pipe network layout problem," European Journal of Operational Research, Elsevier, vol. 277(1), pages 52-61.
    3. Fortz, Bernard & Gouveia, Luís & Joyce-Moniz, Martim, 2017. "Models for the piecewise linear unsplittable multicommodity flow problems," European Journal of Operational Research, Elsevier, vol. 261(1), pages 30-42.
    4. Wentie Niu & Haiteng Sui & Yaxiao Niu & Kunhai Cai & Weiguo Gao, 2016. "Ship Pipe Routing Design Using NSGA-II and Coevolutionary Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-21, December.
    5. Cazzaro, Davide & Fischetti, Martina & Fischetti, Matteo, 2020. "Heuristic algorithms for the Wind Farm Cable Routing problem," Applied Energy, Elsevier, vol. 278(C).
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