IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-319-99142-9_6.html
   My bibliography  Save this book chapter

Open Problems in Green Supply Chain Modeling and Optimization with Carbon Emission Targets

In: Open Problems in Optimization and Data Analysis

Author

Listed:
  • Konstantina Skouri

    (University of Ioannina)

  • Angelo Sifaleras

    (University of Macedonia)

  • Ioannis Konstantaras

    (University of Macedonia)

Abstract

Research on pollutant emissions management is developing into a very essential part of the green supply chain landscape as more industries try to make it part of their strategy among pressure from customers, competitors, and regulatory agencies. This has resulted in an increased tendency to not only focus on financial costs in the production process but also on its impact on society. This public impact comprises, for instance, environmental implications, such as the emission of pollutants during production. The carbon tax and emissions trading mechanisms are the most effective market-based choices used to lower carbon emissions. These mechanisms are incorporated into the development of inventory lot sizing models, the results of which could improve the effectiveness of carbon management in the supply chain. The paper presents some open problems associated with the lot sizing problem under emissions constraints.

Suggested Citation

  • Konstantina Skouri & Angelo Sifaleras & Ioannis Konstantaras, 2018. "Open Problems in Green Supply Chain Modeling and Optimization with Carbon Emission Targets," Springer Optimization and Its Applications, in: Panos M. Pardalos & Athanasios Migdalas (ed.), Open Problems in Optimization and Data Analysis, pages 83-90, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-99142-9_6
    DOI: 10.1007/978-3-319-99142-9_6
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Panagiotis Kalatzantonakis & Angelo Sifaleras & Nikolaos Samaras, 2020. "Cooperative versus non-cooperative parallel variable neighborhood search strategies: a case study on the capacitated vehicle routing problem," Journal of Global Optimization, Springer, vol. 78(2), pages 327-348, October.

    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:978-3-319-99142-9_6. 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.