Analysis of Customer's Expectations and Satisfaction in the Zanjan Municipality Using Fuzzy Multi-Criteria Decision Making (FMCDM) Approach
Author(s):
Abstract:
Customer satisfaction is the most important step in the process of identifying customer expectations. Identify customer expectations âŽwithout referring to him and get his view, is impossible. In order to identify customer expectations, service suppliers are also using âŽstatistical techniques, surveyed their customers. According to the studies, there is no appropriate framework for expectation model to âŽprioritize regions of organizations and make the favorable selection according to the organizationâs policies and strategies. In this âŽresearch, a combination of fuzzy multiple criteria decision making is used for the optimal selection. The research method used in this âŽstudy is of descriptive and applied type, and field method is used to collect data. For Identifying customer expectations, data has âŽbeen collected from study population (customers of Zanjan municipality) is 303 people through random sampling method. To ranking âŽthe dimensions of customer's expectations and make optimal selections of municipality zones, data has been collected from study âŽpopulation (engineer contractor of the municipality) is 30 people. The data collection instrument was questionnaire and interview, which âŽhad been valid. The Expert Choice, Web-based TOPSIS, SPSS and Excel software were used for calculations. It is interesting to âŽobserve that the choices of the best municipality zone solely depend on the criterion having the maximum priority value. Based on âŽcalculations on the stages of the proposed model, "municipality Zone 2" was selected as the optimal the region and had the highest rating âŽin response to customer expectations. Results show that the proposed model has a systematic fit with the defined procedures and known âŽinputs.âŽ
Keywords:
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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