IDEAS home Printed from https://ideas.repec.org/a/igg/jban00/v7y2020i1p54-76.html
   My bibliography  Save this article

Logistics Optimisation: A Cyber Physical Model

Author

Listed:
  • Chuks Nnamdi Medoh

    (University of Johannesburg, Johannesburg, South Africa)

  • Arnesh Telukdarie

    (Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa)

Abstract

Contemporary multinationals exist in a dynamic digital age in which business units direct enormous attention to technological solutions and business challenges, especially logistics. Business units aim for solutions that are relatively effective to implement, in relation to solving business challenges ensuring sustainability. This research seeks to present value add relative to business process optimisation model based on 4IR (Fourth Industrial Revolution) implementations, specific to multinational logistics optimisation. The onset of the 4IR has advanced businesses significantly, specifically to logistics optimisation. This article assumes a business process-centric modelling approach via industry 4.0 implementations to model and predicts the optimum logistics execution time. This is facilitated based on defined scenarios with all potential variables affecting configured sets of logistics business functions. The results address the present gap related to presenting a process-centric and systemic architecture effective to simulate the impact of change on a business.

Suggested Citation

  • Chuks Nnamdi Medoh & Arnesh Telukdarie, 2020. "Logistics Optimisation: A Cyber Physical Model," International Journal of Business Analytics (IJBAN), IGI Global, vol. 7(1), pages 54-76, January.
    • Handle: RePEc:igg:jban00:v:7:y:2020:i:1:p:54-76
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBAN.2020010104
    Download Restriction: no
    ---><---

    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:igg:jban00:v:7:y:2020:i:1:p:54-76. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.