IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-75166-1_10.html
   My bibliography  Save this book chapter

Application of Internet of Things (IoT) in Inventory Management for Perishable Produce

In: AI and Analytics for Public Health

Author

Listed:
  • Jing Huang

    (San Jose State University)

  • Hongrui Liu

    (San Jose State University)

Abstract

The emerging multiple sales channels and the more demanding customers are making the produce market very competitive nowadays. Inventory management for perishable produce has been very challenging due to its limited shelf life. Businesses are struggling to provide variety of fresh produce with high customer service and at a reasonable price. The development of Internet of Things (IoT) technologies provides a way to track the transportation and storage conditions of produce in real time and can thus improve the inventory management to reduce cost and increase customer satisfaction. In this paper, an application methodology of IoT in inventory management of perishable produce is introduced. The methodology proposes to use an Artificial Neural Network (ANN) algorithm to create a sorting and pricing mechanism for perishable produces according to their quality status provided by IoT. The methodology aims to minimize the total soilage cost with improved customer satisfaction. A case study is discussed to demonstrate the feasibility and potential benefits of the methodology.

Suggested Citation

  • Jing Huang & Hongrui Liu, 2022. "Application of Internet of Things (IoT) in Inventory Management for Perishable Produce," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu & Weiwei Chen (ed.), AI and Analytics for Public Health, pages 163-177, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-75166-1_10
    DOI: 10.1007/978-3-030-75166-1_10
    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:prbchp:978-3-030-75166-1_10. 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.