IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v18y1991i2p231-44.html
   My bibliography  Save this article

Maximization of Net Revenue per Unit of Physical Output in Markov Decision Processes

Author

Listed:
  • Kristensen, Anders R

Abstract

A new criterion of optimality in Markov decision processes is discussed. The objective is to maximize the average net revenue per unit of physical output (or input). The criterion is relevant in some production models where a limitation is imposed on the physical output (production quota) or on an input factor (scarce resources). An obvious application is in dairy cow replacement models under milk quotas. Iterion cycles are presented for ordinary completely ergodic Markov decision processes and for hierarchic Markov processes. The consequences of the new criterion are illustrated by a numerical example. Copyright 1991 by Oxford University Press.

Suggested Citation

  • Kristensen, Anders R, 1991. "Maximization of Net Revenue per Unit of Physical Output in Markov Decision Processes," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 18(2), pages 231-244.
  • Handle: RePEc:oup:erevae:v:18:y:1991:i:2:p:231-44
    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. Mourits, M. C. M. & Huirne, R. B. M. & Dijkhuizen, A. A. & Kristensen, A. R. & Galligan, D. T., 1999. "Economic optimization of dairy heifer management decisions," Agricultural Systems, Elsevier, vol. 61(1), pages 17-31, July.
    2. Yates, C. M. & Rehman, T. & Chamberlain, A. T., 1996. "Evaluation of the potential effects of embryo transfer on milk production on commercial dairy herds: The development of a markov chain model," Agricultural Systems, Elsevier, vol. 50(1), pages 65-79.
    3. Yates, C.M. & Rehman, T., 1998. "A linear programming formulation of the Markovian decision process approach to modelling the dairy replacement problem," Agricultural Systems, Elsevier, vol. 58(2), pages 185-201, October.

    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:oup:erevae:v:18:y:1991:i:2:p:231-44. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.