An Evaluation Model Using Fuzzy TOPS IS and Goal Programming for TOM Consultant Selection

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.