• DocumentCode
    866551
  • Title

    The linear multi-objective R&D project selection problem

  • Author

    Ringuest, Jeffrey L. ; Graves, Samuel B.

  • Author_Institution
    Sch. of Manage., Boston Coll., Chestnut Hill, MA, USA
  • Volume
    36
  • Issue
    1
  • fYear
    1989
  • fDate
    2/1/1989 12:00:00 AM
  • Firstpage
    54
  • Lastpage
    57
  • Abstract
    A multi-objective model of the project-selection problem is described. The model departs from an earlier goal-programming formulation of the problem, which suggested Delphic methods for selection of priorities and aspiration levels. It is shown that the multiobjective formulation yields multiple nondominated solutions for the same problem solved by goal programming, whereas the goal-programming formulation revealed only one solution, and that the goal-programming solution is sensitive to choice of aspiration levels. The multiobjective model is recommended as a more general approach to the research and development project-selection problem, since it will develop a set of all nondominated solution. Subjective methods (such as the Delphic technique) can then be called for at a later point in the analysis to choose among alternative nondominated solutions
  • Keywords
    project engineering; research and development management; development; multi-objective model; project-selection problem; research; Computer industry; Functional programming; Intelligent robots; Linear programming; Machine intelligence; Mathematical model; Mathematical programming; Research and development; Service robots; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/17.19984
  • Filename
    19984