Selecting Best Projects based on Fuzzy TOPSIS, Fuzzy ANP and Balanced Scorecard Approaches

Excellence model can help the organization move forward in the right direction by providing solutions in the form of improvement projects. Lack of resources prevents organizations from implementing all improvement’s projects simultaneously. Consequently, it seems necessary to make the optimal selection of the improvement projects proposed. According to the studies, unfortunately, there is no appropriate framework for the excellence model to prioritize improvement projects and make the optimal selection according to the organization’s policies and strategies. In this research, a hybrid fuzzy multiple criteria decision making is combined with the balanced scorecard for the optimal selection. Research method is of descriptive and applied type, and field method is used to collect data. The total study population is 30 people. The sample size is equal to the population size. The spatial scope of the research, with a period of 2011 to 2013, is limited to Calcimin Co. whose business is in the field of production of mineral products. The data collection instrument is a researcher-made questionnaire or interview. Data analysis is based on an integrated model of research, and Matlab, and SPSS software were used for the calculations. Based on calculations on the stages of the proposed model, the priority improvement projects and the improvement project of “Create a comprehensive marketing information system in the field of commerce” were selected as the optimal improvement project that had the highest priority for implementation. Results show that the proposed model has a systematic fit with the defined procedures and known inputs.

Balanced Scorecard, Europen Foundation for Quality Management, Multiple Criteria Decision Making, Fuzzy ANP, Fuzzy TOPSIS