• DocumentCode
    3002627
  • Title

    Birnbaum importance in solving component assignment problems

  • Author

    Zhu, Xiaoyan ; Yao, Qingzhu ; Kuo, Way

  • Author_Institution
    Dept. of Ind. & Inf. Eng., Univ. of Tennessee, Knoxville, TN, USA
  • fYear
    2011
  • fDate
    24-27 Jan. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    As an important type of reliability optimization problems, the component assignment problem (CAP) is to find the optimal arrangement of n available components to n positions of a system such that the resulting system reliability is maximized. The CAP is a combinatorial problem in nature and needs effective solution methods. The importance measures of components, e.g., the Birnbaum importance (BI), evaluate the relative strength of a component to system reliability, and can be used in aid to tackle the CAP. This paper studies the competence of the BI in solving the CAP. It proposes some BI-based heuristic methods for the CAP, and evaluates and compares the BI-based heuristics, including the new ones and the existing ones, through comprehensive numerical experiments. It is demonstrated that the heuristics using the BI can solve the CAP satisfactorily and the new heuristics are superior to the existing ones under some situations. Through the analysis to the computational results, this paper suggests a two-phase procedure for solving the CAP, and each phase uses different BI-based heuristics.
  • Keywords
    combinatorial mathematics; optimisation; BI-based heuristic methods; birnbaum importance; combinatorial problem; component assignment problems; reliability optimization problems; Bismuth; Estimation; Pipelines; Reliability; Resource management; Three dimensional displays; Uncertainty; Birnbaum importance; Component assignment problem; Heuristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2011 Proceedings - Annual
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4244-8857-5
  • Type

    conf

  • DOI
    10.1109/RAMS.2011.5754449
  • Filename
    5754449