Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study
This study introduces a new methodology to practitioners and academics in which fuzzy Logic used, in the performance evaluation using the EFQM excellence model for dealing with imprecision and applying AHP & OR in the priority setting of improvement projects. The study proposes a new integrated approach consisting of two main implications. First one is the use of Fuzzy Logic for EFQM excellence model not only make easier the procedure of performance assessment but also the total score for the organization performance obtained will be closer to the real score. The second is after identifying the strength points and the areas for improvement by defining the scores for sub-criteria, using AHP technique and OR model helps organizational excellence mangers for determining and implementation of performance improvement projects with high priority. The results show that Criterion 2 and sub-criteria, 2a, 2b, 2d, are the criterion and sub-criteria having the areas for improvement with higher priority than other criteria and sub-criteria.
fuzzy logic performance improvement analytical hierarchy process (ahp) european foundation for quality management (efqm) operations research (or)