Prioritize Improvement Opportunities Identified In Self-Assessment Using Multi-Criteria Fuzzy Group Decision
Dr.Ghassem Faraj Pour, Ali Mazloum Ali Abadi, Mehdi Alijani, Reza Amiri
Index Terms: Excellence Model EFQM, self-improvement opportunities, group decision making, Fuzzy
ABSTRACT: Efforts to improve the quality are one of the prerequisites for the success of individual companies and for the competitiveness of all whole companies. In the field of improvement and excellence, business excellence models answer to the question that what the better organization is; what goals and concepts they follow, and according to what standards they behave. The EFQM excellence model can be transition from multiplicity to unity of different existing models. The most important approaches of these models are self-assessment and identifying improvement areas in an organization. On the other side, organizations which are at lower level of total quality management, will encounter so many areas to improve when using this model and implementing of self-improvement. Choosing the most important key problems are always the main challenges and because of resource constraints and strategic goals, organizations have to prioritize identified improvement opportunities. This paper introduces a model for prioritizing and choosing the most significant improvement opportunities using the organization Business Excellence team members and because the analysis and decision making atmosphere for excellence team members is not generally complete with accurate information, it seems using of fuzzy decision can be very helpful.
 EFQM publications)2003)Determining Excellence taking the first steps a questionnaire approach : V2.1.
 EFQM publications. (2003). EFQM Excellence Model : Public and Voluntary sectors Version, Brussels
 EFQM publications)2003)(EFQM Excellence model)large company, operational and Business unit versin, Brussels Representative Office,Belgium
 Chang, P. T., Huang, L. C., & Lin, H. J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function ﬁtting and an application to the human resources. Fuzzy Sets and Systems, 112, 511–520.
 Bellman,R. E., & Zadeh, L. A.(1970). Decision-making in a fuzzy environment. Management Science, 17, B141-B164.
 Ölcer, A. I., & Odabasi, A. Y. (2005). A new fuzzy multiple attribute group decision making methodology and its application to propulsion/manoeuvring system selection problem. European Journal of Operation Research, 166, 93–114.
 Koksal Gulser, Mertoglu Benin. (2005). selection of Quality improvement projects criteria involved and a model for manufacturing operations, EQA conference