Analysis of Customer's Expectations and Satisfaction in the Zanjan Municipality Using Fuzzy Multi-Criteria Decision Making (FMCDM) Approach

Abstract:
Customer satisfaction is the most important step in the process of identifying customer expectations. Identify customer expectations ‮without referring to him and get his view, is impossible. In order to identify customer expectations, service suppliers are also using ‮statistical techniques, surveyed their customers. According to the studies, there is no appropriate framework for expectation model to ‮prioritize regions of organizations and make the favorable selection according to the organization’s policies and strategies. In this ‮research, a combination of fuzzy multiple criteria decision making is used for the optimal selection. The research method used in this ‮study is of descriptive and applied type, and field method is used to collect data. For Identifying customer expectations, data has ‮been collected from study population (customers of Zanjan municipality) is 303 people through random sampling method. To ranking ‮the dimensions of customer's expectations and make optimal selections of municipality zones, data has been collected from study ‮population (engineer contractor of the municipality) is 30 people. The data collection instrument was questionnaire and interview, which ‮had been valid. The Expert Choice, Web-based TOPSIS, SPSS and Excel software were used for calculations. It is interesting to ‮observe that the choices of the best municipality zone solely depend on the criterion having the maximum priority value. Based on ‮calculations on the stages of the proposed model, "municipality Zone 2" was selected as the optimal the region and had the highest rating ‮in response to customer expectations. Results show that the proposed model has a systematic fit with the defined procedures and known ‮inputs.‮
Language:
English
Published:
Journal of Optimization in Industrial Engineering, Volume:10 Issue: 21, Winter and Spring 2017
Pages:
47 to 57
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