IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v221y2012i2p306-307.html
   My bibliography  Save this article

A note on “A LP-based heuristic for a time-constrained routing problem”

Author

Listed:
  • Muter, İbrahim
  • İlker Birbil, Ş.
  • Bülbül, Kerem
  • Şahin, Güvenç

Abstract

In their paper, Avella et al. (2006) investigate a time-constrained routing problem. The core of the proposed solution approach is a large-scale linear program that grows both row- and column-wise when new variables are introduced. Thus, a column-and-row generation algorithm is proposed to solve this linear program optimally, and an optimality condition is presented to terminate the column-and-row generation algorithm. We demonstrate by using Lagrangian duality that this optimality condition is incorrect and may lead to a suboptimal solution at termination.

Suggested Citation

  • Muter, İbrahim & İlker Birbil, Ş. & Bülbül, Kerem & Şahin, Güvenç, 2012. "A note on “A LP-based heuristic for a time-constrained routing problem”," European Journal of Operational Research, Elsevier, vol. 221(2), pages 306-307.
  • Handle: RePEc:eee:ejores:v:221:y:2012:i:2:p:306-307
    DOI: 10.1016/j.ejor.2012.03.048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221712002743
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2012.03.048?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Avella, Pasquale & D'Auria, Bernardo & Salerno, Saverio, 2006. "A LP-based heuristic for a time-constrained routing problem," European Journal of Operational Research, Elsevier, vol. 173(1), pages 120-124, August.
    2. Zak, Eugene J., 2002. "Modeling multistage cutting stock problems," European Journal of Operational Research, Elsevier, vol. 141(2), pages 313-327, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Remy Spliet, 2024. "A Simple Perspective on Simultaneous Column and Row Generation," SN Operations Research Forum, Springer, vol. 5(3), pages 1-11, September.
    2. Muter, İbrahim & Birbil, Ş. İlker & Bülbül, Kerem, 2018. "Benders decomposition and column-and-row generation for solving large-scale linear programs with column-dependent-rows," European Journal of Operational Research, Elsevier, vol. 264(1), pages 29-45.
    3. Yi Tao & Ek Peng Chew & Loo Hay Lee & Yuran Shi, 2017. "A column generation approach for the route planning problem in fourth party logistics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 165-181, February.
    4. Muter, İbrahim & Sezer, Zeynep, 2018. "Algorithms for the one-dimensional two-stage cutting stock problem," European Journal of Operational Research, Elsevier, vol. 271(1), pages 20-32.
    5. Dollevoet, Twan & van Essen, J. Theresia & Glorie, Kristiaan M., 2018. "Solution methods for the tray optimization problem," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1070-1084.
    6. Agustín Montero & Juan José Miranda-Bront & Isabel Méndez-Díaz, 2017. "An ILP-based local search procedure for the VRP with pickups and deliveries," Annals of Operations Research, Springer, vol. 259(1), pages 327-350, December.
    7. Dollevoet, T.A.B. & van Essen, J.T. & Glorie, K.M., 2017. "Solution methods for the tray optimization problem," Econometric Institute Research Papers EI2017-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muter, İbrahim & Sezer, Zeynep, 2018. "Algorithms for the one-dimensional two-stage cutting stock problem," European Journal of Operational Research, Elsevier, vol. 271(1), pages 20-32.
    2. Muter, İbrahim & Birbil, Ş. İlker & Bülbül, Kerem, 2018. "Benders decomposition and column-and-row generation for solving large-scale linear programs with column-dependent-rows," European Journal of Operational Research, Elsevier, vol. 264(1), pages 29-45.
    3. Remy Spliet, 2024. "A Simple Perspective on Simultaneous Column and Row Generation," SN Operations Research Forum, Springer, vol. 5(3), pages 1-11, September.
    4. Amanda O. C. Ayres & Betania S. C. Campello & Washington A. Oliveira & Carla T. L. S. Ghidini, 2021. "A Bi-Integrated Model for coupling lot-sizing and cutting-stock problems," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 1047-1076, December.
    5. Leão, Aline A.S. & Santos, Maristela O. & Hoto, Robinson & Arenales, Marcos N., 2011. "The constrained compartmentalized knapsack problem: mathematical models and solution methods," European Journal of Operational Research, Elsevier, vol. 212(3), pages 455-463, August.
    6. Wang, Danni & Xiao, Fan & Zhou, Lei & Liang, Zhe, 2020. "Two-dimensional skiving and cutting stock problem with setup cost based on column-and-row generation," European Journal of Operational Research, Elsevier, vol. 286(2), pages 547-563.
    7. Stephen J. Maher, 2016. "Solving the Integrated Airline Recovery Problem Using Column-and-Row Generation," Transportation Science, INFORMS, vol. 50(1), pages 216-239, February.
    8. Gislaine Mara Melega & Silvio Alexandre de Araujo & Reinaldo Morabito, 2020. "Mathematical model and solution approaches for integrated lot-sizing, scheduling and cutting stock problems," Annals of Operations Research, Springer, vol. 295(2), pages 695-736, December.
    9. Yi Tao & Ek Peng Chew & Loo Hay Lee & Yuran Shi, 2017. "A column generation approach for the route planning problem in fourth party logistics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 165-181, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:221:y:2012:i:2:p:306-307. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.