IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-030-97042-0_2.html
   My bibliography  Save this book chapter

Drone-Based Warehouse Inventory Management with IoT for Perishables

In: Smart Services Summit

Author

Listed:
  • Selwyn Piramuthu

    (University of Florida)

Abstract

Perishables are very sensitive to their ambient conditions that essentially determine their remaining shelf-lives. Since a large number of perishables spend a significant amount of time in transit or in warehouse storage, it is of paramount importance to appropriately manage warehouse inventory to reduce wastage due to premature spoilage. We consider the use of drones and object-level RFID tags to automate inventory management in warehouses that handle perishables and compare this with the case where all processes are manually done by humans. These scenarios exemplify digital twins with the use of IoT and drones in a warehouse environment and associated value creation for the customer and service provider. Our results indicate that automation through RFID tags and drones help the operators of automated warehouses as well as the customers of such warehouses.

Suggested Citation

  • Selwyn Piramuthu, 2022. "Drone-Based Warehouse Inventory Management with IoT for Perishables," Progress in IS, in: Shaun West & Jürg Meierhofer & Utpal Mangla (ed.), Smart Services Summit, pages 13-21, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-97042-0_2
    DOI: 10.1007/978-3-030-97042-0_2
    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. Vichitkunakorn, Panupong & Emde, Simon & Masae, Makusee & Glock, Christoph H. & Grosse, Eric H., 2024. "Locating charging stations and routing drones for efficient automated stocktaking," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1129-1145.

    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:prochp:978-3-030-97042-0_2. 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.