عباس بگلري

Subject of internal and external literature research, there has been a variety of research on improving customer waiting times and corporate services, especially in banking systems. One of the important points of this research is the implementation of online stores such as DJs, which in turn has new challenges and dimensions that are modeled in light of the growing trend of people using this style of store and the development of information technology. It is very important. One of the most important parts of the efficiency of these stores is the after-sales service, which relies heavily on customer loyalty and re-customer service, and ultimately loyalty. For this purpose, in this research, a combined data mining, artificial intelligence, mathematical programming approach along with the concepts of queue theory was used to model and design an optimal algorithm to optimize the supply chain after-sales service delivery approach. The model was implemented on the data of the DG Company over a period of time and the results were eva‎luated. One of the important points in the model designed in this study is to consider customer satisfaction and loyalty and to avoid turning them into a decision support system. Finally, particle swarm optimization algorithms were used to solve large-scale modeling. In this study, in order to increase the accuracy of decision making and fitting to an inferential fuzzy multilayer artificial neural network to predict the extent to which customers' satisfaction with services and their waiting times changes are in accordance with queue patterns under scenarios and capacity assessment programs, The results section of three subset methods for inference, including Grid Partitioning, FCM, Subtractive Clustering, shows the superiority of the FCM method.

خدمات پس از فروش , فروشگاه آنلاين , داده كاوي , مدل رياضي , بهينه سازي , الگوريتم فراابتكاري

After sales services , Online shop , Online shop , Meta-heuristic algorithm , Data mining , Modeling , Optimization

Abbas Beglari

Dr. Alireza Aliahmadi