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    ASIA unversity > 管理學院 > 經營管理學系  > 期刊論文 >  Item 310904400/8593

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8593

    Title: A fuzzy multi-criteria decision making approach for solving a bi-objective personnel assignment problem
    Authors: Huang, DK (Huang, Deng Kui);Chiu, HN (Chiu, Huan Neng);Yeh, RH (Yeh, Ruey Huei);Chang, JH (Chang, Jen Huei)
    Contributors: Department of Business Administration
    Keywords: Personnel assignment;Multi-criteria decision making;Interdependence positions;Fuzzy goal programming;ANALYTIC NETWORK PROCESS;GENETIC ALGORITHM;SELECTION;INFORMATION;SYSTEM;ENVIRONMENT;PLACEMENT;MODEL
    Date: 2009-02
    Issue Date: 2010-03-26 11:15:12 (UTC+8)
    Publisher: Asia University
    Abstract: Effective personnel assignment is one of the most crucial tasks performed by the decision makers of a company. This paper proposes a systematic approach with a feedback mechanism in which the interdependences among positions and the differences among the selected employees are considered simultaneously. Unfortunately, the two combined considerations have rarely been discussed in the literature. The purpose of this approach is to obtain the best matching of candidates and positions in order to organize a collaboratively cross-functional team. In a fuzzy environment and, then, in the proposed approach, a bi-objective binary integer programming (BOBIP) model is formulated. Based on the weighted composite scores determined in the third step of the proposed procedure, the BOBIP model is transformed into a fuzzy bi-objective goal programming (FBOGP) model. An elaborately designed heuristic algorithm is developed to determine the appropriate values of several important parameters in the FBOGP model, which is solved using LINDO 8.0. An application example is illustrated, and two additional examples are tested. The results indicate that the proposed approach achieves the acceptable satisfaction level and requires less computation time than the brute force enumerative method. (C) 2008 Elsevier Ltd. All rights reserved.
    Appears in Collections:[經營管理學系 ] 期刊論文

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