IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-11415-6_1.html
   My bibliography  Save this book chapter

Decision Making Approach for Optimal Business Investments

In: Advanced Business Analytics

Author

Listed:
  • Alberto Pliego Marugán

    (University of Castilla-La Mancha)

  • Fausto Pedro García Márquez

    (University of Castilla-La Mancha)

Abstract

The decision-making (DM) processes are increasingly playing an important role in business management. The optimization in operational, tactical and strategic decisions can provide to the firm a position of advantage over the competitors. DM is defined as a criteria selection method to choose the best alternative that lets to the firm get the objective. Some of the most important stakeholders involved in the DM processes are described. In this chapter, Decision Trees allow taking into account all the possible alternatives, but it requires a large computational cost, that will be depend of the order of variables. In order to carry out this task as easy as possible, different ranking methods are explained. It is important to say that there is not a method to order the variable providing the best solution in all the cases. This is why several methods are presented such as Top-down-left-right, Depth First Search, The Breath First Search, Level Method and AND Method. Once all the alternatives have been taken into account, Binary Decision Diagrams provide an analytical expression to approach the interrelation between all variables what becomes an optimization function. The optimization function will be usually subject to different constraints related to the availability of resources of the firm. Once the optimization has been carried out, it is easier to establish an optimal strategy to allocate properly the available resources. In this chapter, a case study is presented to facilitate the reader’s understanding of the proposed method hereby. Finally, some conclusions are gathered from the application of this method.

Suggested Citation

  • Alberto Pliego Marugán & Fausto Pedro García Márquez, 2015. "Decision Making Approach for Optimal Business Investments," Springer Books, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Advanced Business Analytics, edition 127, pages 1-20, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-11415-6_1
    DOI: 10.1007/978-3-319-11415-6_1
    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.

    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:sprchp:978-3-319-11415-6_1. 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.