IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v17y1969i1p36-47.html
   My bibliography  Save this article

A Probabilistic Model for Obsolescence

Author

Listed:
  • Philip M. Morse

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

  • Caroline Elston

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

Abstract

A Markovian model is presented of a class of items with use-rate that is randomly distributed and with mean use or popularity that diminishes exponentially with time. Tables are given of the functions involved. As an example, it is shown that the yearly circulation of books in a library corresponds to the model, thus enabling circulation characteristics of various book classes to be predicted probabilistically.

Suggested Citation

  • Philip M. Morse & Caroline Elston, 1969. "A Probabilistic Model for Obsolescence," Operations Research, INFORMS, vol. 17(1), pages 36-47, February.
    • Handle: RePEc:inm:oropre:v:17:y:1969:i:1:p:36-47
    DOI: 10.1287/opre.17.1.36
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.17.1.36
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.17.1.36?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. S. D. Deshmukh, 1973. "Computational Delays," Discussion Papers 35, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    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:inm:oropre:v:17:y:1969:i:1:p:36-47. 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.