IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-24907-5_67.html
   My bibliography  Save this book chapter

A Heuristic Bicriteria Scheduling Approach for a Flooring Production Planning Problem

In: Operations Research Proceedings 2022

Author

Listed:
  • D. Leib

    (Fraunhofer Institute for Industrial Mathematics ITWM)

  • E. Finhold

    (Fraunhofer Institute for Industrial Mathematics ITWM)

  • T. Heller

    (Fraunhofer Institute for Industrial Mathematics ITWM)

Abstract

We consider a scheduling problem motivated by a particular process step in the production of rubber flooring. In this step, a set of given jobs of different colors has to pass through a heated pressure roller, one job at a time. Since different jobs require different process temperatures, and heating up the machine is expensive, we want to minimize the total temperature change. On the other hand, we aim at minimizing the alternations between bright and dark colors to minimize cleaning effort. We provide an efficient heuristic for finding all job sequences that are Pareto optimal with respect to the two objectives.

Suggested Citation

  • D. Leib & E. Finhold & T. Heller, 2023. "A Heuristic Bicriteria Scheduling Approach for a Flooring Production Planning Problem," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 567-572, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_67
    DOI: 10.1007/978-3-031-24907-5_67
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-3-031-24907-5_67. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.