IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v54y2022i10p950-962.html
   My bibliography  Save this article

A lot-sizing problem in deliberated and controlled co-production systems

Author

Listed:
  • Bahadır Pamuk
  • Semra Ağralı
  • Z. Caner Taşkın
  • Banu Kabakulak

Abstract

We consider an uncapacitated lot-sizing problem in co-production systems, in which it is possible to produce multiple items simultaneously in a single production run. Each product has a deterministic demand to be satisfied on time. The decision is to choose which items to co-produce and the amount of production throughout a predetermined planning horizon. We show that the lot-sizing problem with co-production is strongly NP-Hard. Then, we develop various Mixed-Integer Linear Programming (MILP) formulations of the problem and show that LP relaxations of all MILPs are equal. We develop a separation algorithm based on a set of valid inequalities, lower bounds based on a dynamic lot-sizing relaxation of our problem and a constructive heuristic that is used to obtain an initial solution for the solver, which form the basis of our proposed Branch & Cut algorithm for the problem. We test our models and algorithms on different data sets and provide the results.

Suggested Citation

  • Bahadır Pamuk & Semra Ağralı & Z. Caner Taşkın & Banu Kabakulak, 2022. "A lot-sizing problem in deliberated and controlled co-production systems," IISE Transactions, Taylor & Francis Journals, vol. 54(10), pages 950-962, July.
  • Handle: RePEc:taf:uiiexx:v:54:y:2022:i:10:p:950-962
    DOI: 10.1080/24725854.2021.2022250
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24725854.2021.2022250
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24725854.2021.2022250?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:uiiexx:v:54:y:2022:i:10:p:950-962. 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/uiie .

    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.