• DocumentCode
    552691
  • Title

    Cognitive mapping: A decision support tool for a new business unit location choice

  • Author

    De Lima, Alexsandro Souza ; de S. Damiani, J. Henrique ; Cabral, Arnoldo S.

  • Author_Institution
    Estado-Maior da Aeronaut., Brasilia, Brazil
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 4 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The search for the best way to allocate resources is a common problem in organizations. The difficulty lies, generally, in trying to bring together conflicting goals, usually condensed to minimize costs and maximize benefits, all in accordance with a risk level considered acceptable. The identification of promising locations for the installation of new business units addresses this kind of problem, where a decision has to be made in order to optimize the organizations resources. This paper aims to discuss the use of cognitive maps as a support tool in a locational decision problem. To this end, we present concepts treated in literature, necessary to understand the issue at hand. Then, explanations are taken on the use of cognitive maps for the identification and hierarchical structuring of Fundamental Points of View of a decision maker. Finally, a case study is presented, aiming to demonstrate the applicability of cognitive maps in developing an analytical framework to support the decision making process of choosing the location for a new medical laboratory unit.
  • Keywords
    decision making; facility location; business unit location; business unit location choice; cognitive mapping; decision maker; decision making process; decision support tool; locational decision problem; medical laboratory unit; organizations resources; Cities and towns; Companies; Context; Laboratories; Medical services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-4577-1552-5
  • Electronic_ISBN
    978-1-890843-24-3
  • Type

    conf

  • Filename
    6017722