IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v34y2004i5p383-393.html
   My bibliography  Save this article

An Integrated Planning System for Managing the Refurbishment of Thermoluminescent Badges

Author

Listed:
  • Murat Bayiz

    (Anderson School of Management, University of California, Los Angeles, California 90095)

  • Christopher S. Tang

    (Anderson School of Management, University of California, Los Angeles, California 90095)

Abstract

ABC Worldwide Dosimetry Service provides a high-quality service for measuring and reporting radioactive exposure at its customers' sites. It leases thermoluminescent badges that record radioactive exposure over a prespecified time period. As each recording cycle ends, ABC must send refurbished (or new) badges to the customers before they return the old badges to ensure continuous monitoring. It then measures, recalibrates, and refurbishes the returned badges for future use. We developed an integrated system that could help ABC to manage its purchasing schedule for new badges so it can meet a target customer service level with minimal inventory. We ran our integrated system using the data ABC provided and found that our system could have helped ABC to reduce its inventory level by 17.7 percent and its costs by $820,000 within a six-month period.

Suggested Citation

  • Murat Bayiz & Christopher S. Tang, 2004. "An Integrated Planning System for Managing the Refurbishment of Thermoluminescent Badges," Interfaces, INFORMS, vol. 34(5), pages 383-393, October.
  • Handle: RePEc:inm:orinte:v:34:y:2004:i:5:p:383-393
    DOI: 10.1287/inte.1040.0098
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.1040.0098
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.1040.0098?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Mabel C. Chou & Chee-Khian Sim & Xue-Ming Yuan, 2020. "Policies for inventory models with product returns forecast from past demands and past sales," Annals of Operations Research, Springer, vol. 288(1), pages 137-180, May.
    2. Zhijie Tao & Sean X. Zhou, 2014. "Approximation Balancing Policies for Inventory Systems with Remanufacturing," Mathematics of Operations Research, INFORMS, vol. 39(4), pages 1179-1197, November.
    3. Andre P. Calmon & Stephen C. Graves, 2017. "Inventory Management in a Consumer Electronics Closed-Loop Supply Chain," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 568-585, October.

    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:inm:orinte:v:34:y:2004:i:5:p:383-393. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.