IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v17y1971i8pb505-b518.html
   My bibliography  Save this article

A Generalized Goal Decomposition Model

Author

Listed:
  • Timothy W. Ruefli

    (University of Texas at Austin)

Abstract

A decomposition model is developed which can be interpreted as a representation of decision-making in a three-level hierarchical organization. The central unit coordinates decision activity by generating goals for a subordinate level of management units. These latter are responsible for generating the economic indicators that (1) allow the central unit to evaluate its goal generating policies, and (2) guide the alternative generation activities of third level operating units. Because of the absence of a global objective function for the organization the decision activity is shown to be dependent on the structure of the organization (i.e., the solutions of the model are affected by the structure and degree of decomposition). Thus, unlike existing decomposition models, the model treats organization structure as a variable in the decision-making process. This feature of the model is shown to have implications for organizational design.

Suggested Citation

  • Timothy W. Ruefli, 1971. "A Generalized Goal Decomposition Model," Management Science, INFORMS, vol. 17(8), pages 505-518, April.
  • Handle: RePEc:inm:ormnsc:v:17:y:1971:i:8:p:b505-b518
    DOI: 10.1287/mnsc.17.8.B505
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.17.8.B505
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.17.8.B505?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. Villegas, F. & Ouenniche, J., 2008. "A general unconstrained model for transfer pricing in multinational supply chains," European Journal of Operational Research, Elsevier, vol. 187(3), pages 829-856, June.
    2. Psarras, J. & Capros, P. & Samouilidis, J.-E., 1990. "4.5. Multiobjective programming," Energy, Elsevier, vol. 15(7), pages 583-605.
    3. Gomez, T. & Gonzalez, M. & Luque, M. & Miguel, F. & Ruiz, F., 2001. "Multiple objectives decomposition-coordination methods for hierarchical organizations," European Journal of Operational Research, Elsevier, vol. 133(2), pages 323-341, January.
    4. Goedhart, Marc H. & Spronk, Jaap, 1995. "An interactive heuristic for financial planning in decentralized organizations," European Journal of Operational Research, Elsevier, vol. 86(1), pages 162-175, 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:inm:ormnsc:v:17:y:1971:i:8:p:b505-b518. 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.