IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v52y2020i9p945-960.html
   My bibliography  Save this article

Resource allocation strategies for protein purification operations

Author

Listed:
  • Yasemin Limon
  • Ananth Krishnamurthy

Abstract

We analyze resource allocation challenges in protein purification operations where differences in scientist capabilities can lead to significantly different outcomes. We use queuing models to capture the underlying dynamics and quantify the performance of different strategies based on solutions obtained using the matrix-geometric approach. We show that certain partial flexibility structures coupled with appropriate priority rules can yield very efficient system performance. We also define a new server utilization metric that can be very effective in rank ordering strategies. Through numerical studies, we provide useful rules for the biomanufacturers to achieve higher profits and shorter lead times.

Suggested Citation

  • Yasemin Limon & Ananth Krishnamurthy, 2020. "Resource allocation strategies for protein purification operations," IISE Transactions, Taylor & Francis Journals, vol. 52(9), pages 945-960, September.
  • Handle: RePEc:taf:uiiexx:v:52:y:2020:i:9:p:945-960
    DOI: 10.1080/24725854.2019.1680908
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24725854.2019.1680908
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24725854.2019.1680908?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
    ---><---

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

    More about this item

    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:taf:uiiexx:v:52:y:2020:i:9:p:945-960. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.