IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-981-99-5491-9_11.html
   My bibliography  Save this book chapter

Dantzig–Wolfe Reformulation and Column Generation: Optimization in the Chemical Tanker Industry

In: Optimization Essentials

Author

Listed:
  • Anurag Ladage

    (IITB-Monash Research Academy, IIT Bombay)

  • Ashutosh Mahajan

    (IIT Bombay)

  • Andreas Ernst

    (Monash University)

  • Mohan Krishnamoorthy

    (Stem College)

Abstract

Global chemical supply chains rely on chemical tankers for the movement of their raw materials and products. A chemical tanker is a sophisticated multi-compartment cargo ship that transports chemicals between ports. This chapter describes some of the decision problems arising while planning operations of such tankers. Assignment of chemicals to compartments of the tanker is considered in particular. Several domain-specific assignment decisions related to cargo-cargo and cargo-compartment compatibility rules, and tanker balancing safety restrictions make this assignment problem unique. A mixed-integer linear programming (MILP) model for the assignment problem is presented along with some insights on its structure and complexity. A different formulation based on the Dantzig–Wolfe reformulation is derived. The reformulation is solved using a customized column generation framework. This approach enables one to take advantage of multiple special structures in the problem. Some discussions around the implementation nuances are also presented.

Suggested Citation

  • Anurag Ladage & Ashutosh Mahajan & Andreas Ernst & Mohan Krishnamoorthy, 2024. "Dantzig–Wolfe Reformulation and Column Generation: Optimization in the Chemical Tanker Industry," International Series in Operations Research & Management Science, in: Faiz Hamid (ed.), Optimization Essentials, chapter 0, pages 325-354, Springer.
    • Handle: RePEc:spr:isochp:978-981-99-5491-9_11
    DOI: 10.1007/978-981-99-5491-9_11
    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.

    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:spr:isochp:978-981-99-5491-9_11. 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.