IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-319-64568-1_5.html
   My bibliography  Save this book chapter

Cutting Stock Problem with the IoT

In: Optimization and Management in Manufacturing Engineering

Author

Listed:
  • Xinbao Liu

    (Hefei University of Technology)

  • Jun Pei

    (Hefei University of Technology)

  • Lin Liu

    (Hefei University of Technology)

  • Hao Cheng

    (Hefei University of Technology)

  • Mi Zhou

    (Hefei University of Technology)

  • Panos M. Pardalos

    (University of Florida)

Abstract

The cutting stock problem is representative of the combinatorial optimization problems that arise in industries such as steel, furniture, paper, glass, and leather. In a cutting plan, we must obtain the required set of smaller pieces (items) by cutting large pieces (objects) that are in stock. The objective is usually to minimize waste. In a real-life cutting process, there are some further criteria, e.g., the number of different cutting patterns (setups), capacity of the cutting equipment, and due dates. With the increasing scarcity of resources in the world, researchers are paying more attention to resource utilization.

Suggested Citation

  • Xinbao Liu & Jun Pei & Lin Liu & Hao Cheng & Mi Zhou & Panos M. Pardalos, 2017. "Cutting Stock Problem with the IoT," Springer Optimization and Its Applications, in: Optimization and Management in Manufacturing Engineering, chapter 0, pages 127-161, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-64568-1_5
    DOI: 10.1007/978-3-319-64568-1_5
    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:spochp:978-3-319-64568-1_5. 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.