IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-30351-7_26.html
   My bibliography  Save this book chapter

The Use of Digital Twins for Elaboration of Strategic Guidelines to Ensure Sustainable Development of Industrial Enterprises

In: Digital Transformation in Industry

Author

Listed:
  • Olga Chernova

    (South Federal University)

  • Olga Dolgova

    (South Federal University)

  • Baraa Ali

    (South Federal University)

Abstract

Many scientists associate the prospects for sustainable development of industrial enterprises with the development of strategic partnerships. Although there are a number of studies that address different issues related to strategic management of sustainable development in industrial enterprises, little attention is paid to the problems of modeling resource flows within the framework of strategic interactions. This is largely due to the complexity of collecting information about the production processes at the enterprises. To solve this problem, we suggest applying digital twins, the existence of which is based on simulation models. The purpose of this article is to develop a simulation model for the resource flows of an industrial enterprise within the framework of a strategic partnership. This approach will allow making informed managerial decisions to achieve the goals of sustainable development. A simulation model discussed in this article will be developed on the example of a sugar factory. The difference between this model and the existing ones is that the resource flow parameters are determined taking into account the existing production conditions and the interests of the participants involved in strategic interactions, i.e. by the volume of demand and the expected sales price. The simulation model is based on the principles of system dynamics. The indicators that set the sustainable development vector are determined by economic, social and environmental components. The decision-making process on sales volumes is described using Java code. The model experimental verification showed that it makes possible not only to analyze the parameters describing the enterprise’s sustainable development taking into consideration various cooperation alternatives, but also to determine the best interaction option that meets the goals of sustainable development. The study results may be used to form digital twins as a practical method to improve efficiency of industrial enterprises.

Suggested Citation

  • Olga Chernova & Olga Dolgova & Baraa Ali, 2023. "The Use of Digital Twins for Elaboration of Strategic Guidelines to Ensure Sustainable Development of Industrial Enterprises," Lecture Notes in Information Systems and Organization, in: Vikas Kumar & Grigorios L. Kyriakopoulos & Victoria Akberdina & Evgeny Kuzmin (ed.), Digital Transformation in Industry, pages 353-364, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-30351-7_26
    DOI: 10.1007/978-3-031-30351-7_26
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:lnichp:978-3-031-30351-7_26. 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.