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Browsing by Author "Peng, Hao Hsuan"

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    A systematic procedure to obtain a preferable and robust ranking of units
    (2009-04-01)
    Liu, Fuh-Hwa Franklin
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    Peng, Hao Hsuan
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    工業工程與管理學系
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    Department of Industrial Engineering and Management
    This paper introduces one systematic procedure for the manager of an organization to assess units under its governance using multiple performance indices. The goal of this systematic procedure is to assist the manager in obtaining a preferable and robust ranking result for units. In this procedure, for all units, one common set of weights attached to the performance indices is determined in order to maximize the group's comprehensive score. Then. using the common set of weights, each unit's comprehensive score is evaluated and compared for ranking. In order to obtain the preferable ranking, the manager's subjective preference is considered and formulated by the virtual weights restrictions while determining the common weights in the procedure. The procedure is applied in order to obtain a robust ranking by modifying the boundary of the feasible region of virtual weights restrictions in each assessment. The final statistical ranking of all assessments provides the manager with one robust ranking, which is invariant in different feasible regions of virtual weights restrictions in the numerical example. (C) 2007 Elsevier Ltd. All rights reserved.
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    Ranking of units on the DEA frontier with common weights
    (2008-05-01)
    Liu, Fuh-Hwa Franklin
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    Peng, Hao Hsuan
    ;
    工業工程與管理學系
    ;
    Department of Industrial Engineering and Management
    Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision-making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. This research proposes a methodology to determine one common set of weights for the performance indices of only DEA efficient DMUs. Then, these DMUs are ranked according to the efficiency score weighted by the common set of weights. For the decision maker, this ranking is based on the optimization of the group's efficiency. (c) 2006 Elsevier Ltd. All rights reserved.