IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-032-14489-8_14.html

A Model to Guide Visibility Investments in Complex Distribution Networks

In: Proceedings of the International Conference on Industrial Logistics (ICIL) 2025

Author

Listed:
  • Riccardo Siena

    (Alma Mater Studiorum – University of Bologna, Department of Industrial Engineering)

  • Marco Bortolini

    (Alma Mater Studiorum – University of Bologna, Department of Industrial Engineering)

  • Ludovica Diletta Naldi

    (Alma Mater Studiorum – University of Bologna, Department of Industrial Engineering)

  • Alberto Regattieri

    (Alma Mater Studiorum – University of Bologna, Department of Industrial Engineering)

  • Michele Ronchi

    (Alma Mater Studiorum – University of Bologna, Department of Industrial Engineering)

Abstract

Supply chain visibility refers to the ability to track and monitor all activities and processes within the supply chain promptly. Gaining visibility into supply chain processes is becoming increasingly crucial for businesses, as it underpins improvements in economic, environmental, and social aspects. In outbound logistics, the numerous stakeholders, process complexity, and substantial investments required make it difficult for many companies to develop effective monitoring tools. Additionally, competing objectives among stakeholders and the low quality of data provided are major challenges that hinder the success of such projects. This paper introduces a probabilistic model designed to guide investments that enhance overall visibility and data quality. The model is applied to a realistic scenario inspired by the case of a leading Italian food and beverage company, illustrating that targeted investments can significantly boost visibility during the initial project phases, even in resource-constrained environments.

Suggested Citation

  • Riccardo Siena & Marco Bortolini & Ludovica Diletta Naldi & Alberto Regattieri & Michele Ronchi, 2026. "A Model to Guide Visibility Investments in Complex Distribution Networks," Lecture Notes in Operations Research, in: U. Aytun Ozturk & Petri T. Helo (ed.), Proceedings of the International Conference on Industrial Logistics (ICIL) 2025, pages 132-140, Springer.
    • Handle: RePEc:spr:lnopch:978-3-032-14489-8_14
    DOI: 10.1007/978-3-032-14489-8_14
    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:lnopch:978-3-032-14489-8_14. 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.