A study on single server and multi server fuzzy queuing model and queuing theory model / Muhammad Alif Haikal Nor Azman, Nurul Latifah Ramli and Nurazimah Maharudin

People always need to face with a long queue and waiting for a long time to be served.
Usually, in the peak hours such as 12 p.m. until 2 p.m., 6 p.m. until 10 p.m. are always
full of people and the long queue continues until the peak hours end. It can lead to
dissatisfaction of customers. By comparing Fuzzy Queuing Model and Queuing Theory
Model which model is the best model to get the better service performance. The purpose
of this study is to investigate the service performance of cinema using fuzzy queuing
model. This study suggests several research objectives to be attained which are to
compute service performance using Fuzzy Queuing Model for single server and multiserver.
Other than that, is to compare service performance between Fuzzy Queuing
Model and Queuing Theory Model. The method that we used in this study are Queuing
Theory Model and Fuzzy Queuing Model which is DSW algorithm to get the required
variables. The data was collected manually at GSC Cinemas Palm Mall Seremban and
TGV Cinemas, Aeon Seremban 2. The values of arrival rate, A and service rate, μ
were obtained by calculation with using Queuing Theory Model and Fuzzy Queuing
Model. For future observation, other researcher can compare single server for both
methods to know which method the best method in maximize the service performance
and minimize the service time.