An Evaluation Model Using Fuzzy TOPSIS and Goal Programming for TQM Consultant Selection

    Volume 41, Issue 1 (January 2013)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 11 December 2012

    Page Count: 9


    Liao, Chin-Nung
    Dept. of Business Administration, China Univ. of Science and Technology, Nankang, Taipei,

    (Received 22 November 2011; accepted 23 May 2012)

    Abstract

    There are many businesses implementing total quality management (TQM) to obtain a competitive advantage and achieve business objectives. However, few businesses have addressed external consultant selection for the successful implementation of a TQM program in business quality management. The decisions made in a TQM program usually involve several objectives or criteria, and it is often necessary to make compromises when choosing from among possibly conflicting factors. In this paper, a novel method integrates the fuzzy analytical hierarchy process (FAHP), the fuzzy technique for order preference by similarity to an ideal solution (TOPSIS), and multi-segment and choice goal programming (MSCGP) methods to solve TQM consultant selection problems. A real-life case study is presented to illustrate the application of the proposed method.


    Paper ID: JTE104563

    DOI: 10.1520/JTE104563

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    Author
    Title An Evaluation Model Using Fuzzy TOPSIS and Goal Programming for TQM Consultant Selection
    Symposium , 0000-00-00
    Committee D02