IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v62y2024i7p2483-2498.html
   My bibliography  Save this article

Production scheduling problem with assembly flow shop systems: mathematical optimisation models

Author

Listed:
  • José Renatho da Silva Santana
  • Helio Yochihiro Fuchigami

Abstract

This work presents four mixed integer linear programming (MILP) models for the assembly flow shop problem in order to minimize the makespan. This production environment has two stages: production and assembly. The first stage consists of different machines designed to manufacture parts of a product. The second stage is intended for a final assembly. The performance measure considered is highly essential for industries from different segments, as it focuses on the best use of the time available for production. Statistical analysis with different tools was used to assess the performance and efficiency of mathematical models, emphasizing the analysis of performance profiles. Results showed that mathematical models are efficient, and the position-based model presented the best results for small and large instances during computational experimentation. All mathematical models can be used as direct tools in decision-making for the production sequencing problem in the approached environment.

Suggested Citation

  • José Renatho da Silva Santana & Helio Yochihiro Fuchigami, 2024. "Production scheduling problem with assembly flow shop systems: mathematical optimisation models," International Journal of Production Research, Taylor & Francis Journals, vol. 62(7), pages 2483-2498, April.
    • Handle: RePEc:taf:tprsxx:v:62:y:2024:i:7:p:2483-2498
    DOI: 10.1080/00207543.2023.2217938
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2023.2217938
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2023.2217938?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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:62:y:2024:i:7:p:2483-2498. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.