IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-642-04247-8_8.html
   My bibliography  Save this book chapter

Blood Bank Inventory Control with Transshipments and Substitutions

In: Production and Inventory Management with Substitutions

Author

Listed:
  • J. Christian Lang

    (Technische Universität Darmstadt)

Abstract

In this section, we focus on the combination of two flexibility instruments (also see Chap. 1) that are available for the control of multi-location multi-product inventory systems: Lateral stock transshipments Product substitutions As mentioned in Sect. 2.3, the reasons for performing transshipments and substitutions (see Chap. 1) are often similar. They are summarized in Table 8.1 Both transshipments and substitutions can be differentiated into two types: preventive and reactive. Preventive (also: proactive, planned) transshipments are performed before a stock-out actually occurs, whereas reactive (also: emergency) transshipments are initiated after the location has run out of stock for a product (Herer et al., 2006). The latter require that the transshipment lead time is short enough to be able to fulfill the demand. Preventive substitution means that we start using substitutes before a stock-out of the requested product occurs, e.g., to reserve some stocks for high-priority demand. Reactive substitutions are performed if the requested product is already out of stock. These aspects are summarized in Table 8.2.

Suggested Citation

  • J. Christian Lang, 2010. "Blood Bank Inventory Control with Transshipments and Substitutions," Lecture Notes in Economics and Mathematical Systems, in: Production and Inventory Management with Substitutions, chapter 0, pages 205-226, Springer.
  • Handle: RePEc:spr:lnechp:978-3-642-04247-8_8
    DOI: 10.1007/978-3-642-04247-8_8
    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. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith & Sonia P. Forero-Matiz & Bernardo A. Camacho-Rodríguez, 2017. "Simulation-optimization model for production planning in the blood supply chain," Health Care Management Science, Springer, vol. 20(4), pages 548-564, December.

    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:lnechp:978-3-642-04247-8_8. 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.