IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_77.html
   My bibliography  Save this book chapter

An Intelligent Decision Support System for an Integrated Energy Aware Production-Distribution Model

In: Handbook of Smart Energy Systems

Author

Listed:
  • Soulmaz Rahman Mohammadpour

    (Islamic Azad University)

  • Seyed Habib A. Rahmati

    (Islamic Azad University)

Abstract

Nowadays, the green aspect of sustainable development is being a global requirement. Words such as CO2 emission, zero waste, or energy consumption are repeated day in day out. Besides, intelligent or smart system development is also the chief concept of modern life. Meanwhile, different sources of pollution are driving the world into global warming and perhaps production and logistic systems are foremost among them. Developing intelligent systems alongside the global prohibiting laws and green altering or culture-making campaigns are the future expected ways of coping with this serious obstacle of humankind. This chapter focuses on introducing an intelligent decision support system (DSS) for controlling affairs of a complex production-distribution system (PDS) in which reducing CO2 emission and enhancing company economical profit are in conflict. Both aspects of manufacturing and vehicle logistic pollutions are modeled according to real coefficients and calculations of CO2 emission per electricity consumption (kg/kWh) and CO2 emission per fuel consumption (kg/L), respectively. The introduced smart DSS provides PDS owners with an if-then system in which they are capable of assessing different scenarios of planning to improve their environmental responsibility and profit simultaneously. These systems implement natural inspired intelligent modules to suggest solutions for different decisions of system owners in minimum time and without the need to real case try and error. Various analytical and experimental results are also provided to introduce the performance of the DSS and PDS systems more explicitly.

Suggested Citation

  • Soulmaz Rahman Mohammadpour & Seyed Habib A. Rahmati, 2023. "An Intelligent Decision Support System for an Integrated Energy Aware Production-Distribution Model," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 1689-1708, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-97940-9_77
    DOI: 10.1007/978-3-030-97940-9_77
    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:sprchp:978-3-030-97940-9_77. 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.