IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v9y2015i4p409-431.html
   My bibliography  Save this article

Smart vending machine systems: operation and performance

Author

Listed:
  • Yang-Byung Park
  • Hae-Soo Park

Abstract

The operation of smart vending machine systems creates decision-making problems under vendor-managed inventory schemes involving product allocation to vending machine storage compartments, replenishment points of products and replenishment thresholds at vending machines, and vehicle routes for inventory replenishments, all of which have critical effects on system profit. This paper considers the operation of smart vending machine systems in which possible product substitutions occur when customers face stock-outs. A simple, intuitive procedure is presented to estimate substitution probabilities, construct an integrated optimisation mathematical model for the operation problem of smart vending machine systems, and develop a two-phase heuristic based on this mathematical model. The results of computational experiments demonstrate the substantial economic benefit of the smart vending machine system over the conventional system. Sensitivity analysis indicates that certain input variables significantly impact the effectiveness of the smart vending machine system. [Received 28 August 2013; Revised 26 December 2013; Accepted 11 March 2014]

Suggested Citation

  • Yang-Byung Park & Hae-Soo Park, 2015. "Smart vending machine systems: operation and performance," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 9(4), pages 409-431.
  • Handle: RePEc:ids:eujine:v:9:y:2015:i:4:p:409-431
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=70321
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mozhu Wang & Jianming Yao, 2023. "A reliable location design of unmanned vending machines based on customer satisfaction," Electronic Commerce Research, Springer, vol. 23(1), pages 541-575, March.

    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:ids:eujine:v:9:y:2015:i:4:p:409-431. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=210 .

    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.