• DocumentCode
    1194753
  • Title

    Multicriteria methods for resource planning: an experimental comparison

  • Author

    Hobbs, Benjamin F. ; Meier, Peter M.

  • Author_Institution
    Dept. of Syst. Eng., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    9
  • Issue
    4
  • fYear
    1994
  • fDate
    11/1/1994 12:00:00 AM
  • Firstpage
    1811
  • Lastpage
    1817
  • Abstract
    Multicriteria decision making (MCDM) methods are widely used for comparing alternatives when there are multiple objectives. For instance, utilities use them for resource bidding, externality quantification, facility siting, and resource planning. There are many alternative methods, differing in their ease of use, validity, results, and appropriateness to resource planning. Several MCDM methods are compared in an experiment involving the choice of resource portfolio for Seattle City Light. Planners and interest group representatives applied direct weight assessment, tradeoff weight assessment, additive value functions, and goal programming. Most of the participants concluded that MCDM methods could promote insight and confidence in decision making. However, the authors also confirmed the existence of method biases previously identified by psychologists. No single method emerged as best. Thus, application of two or more methods as consistency checks is recommended to guard against bias, and to stimulate insight
  • Keywords
    electricity supply industry; mathematical programming; power system planning; Seattle City Light; additive value functions; decision making; demand side planning; direct weight assessment; externality quantification; facility siting; goal programming; multicriteria decision making methods; multiple objectives; resource bidding; resource planning; supply planning; tradeoff weight assessment; Assembly; Cities and towns; Costs; Decision making; Functional programming; Portfolios; Power generation economics; Process planning; Psychology; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.331435
  • Filename
    331435