The Assessment of Customer Satisfaction of a Product in a Manufacturing System Using Adaptive Neuro Fuzzy Interference System
摘要
Customer satisfaction is an asset that should be protected and retained just like any other asset in an organization. The management needs practices that promote customer satisfaction in an organization’s service provision. This work presents a descriptive overview that undertook a cross-sectional survey design to establish customer satisfaction in several mechanical and allied industries. Population taken from employees from various divisions and positions of similar organizations and their opinions are recorded and analyzed for a better understanding of the effect of the quality management on customer satisfaction. The objective of the present work can be summarized as the assessment of various factors affecting customer satisfaction. To do so a set of questionnaire is set as per the full factorial design of experiments to access the opinion of customers of various organizations. Qualitative research methodology has been applied due to the large number of respondents who participated. Data was captured through the interview process and research questionnaire to evaluate the respondents focusing on quality control activities and customer satisfaction in the mechanical and allied industries. This method is used to describe the relationship between organizational culture, organizational commitment and person organization fit. The sampling area is the urban area of Mumbai with a sample size of 243. Convenient sampling technique has been adopted to conduct the sample survey. Adaptive Neuro-Fuzzy Interference System (ANFIS) is used to analyze the data. The results of the analysis is fed for mapping a new set of data which is convenient and simple to predict the level of customer satisfaction on the basis of various influencing factors. This work finds its applications in the area of industrial management that uses modern manufacturing environment.