Using A Queuing Model To Analyze And Recommend Changes In The News Coming Service Performance Of A National Media

The culture of media business service in Albania is being shaped day by day by giving up the old tradition of orientating itself toward the in-out flow rather than considering the out-in flow, meaning the greater importance of reader service that makes changes happen from outside, having them into focus. This empirical study focuses on solving a critical service problem in the news from the specific media we must concentrate on. In our case, it concerns measuring the performance of a queue service for the news coming service. It is the queue theory that helps us understand the problem modeling. Thus, performance analysis reaches out by testing the actual waiting time to improve the news manipulating time service, therefore business costs. The methodology used here is based on the Little Law, which relates the average arrival rate with the average waiting time (Poisson distribution) and item number in the queue, combined with the formula that calculates the total economic cost. The model is applied to our specific queue dataset. The data are obtained from one-month observations of news arrival time in a business organization that is focused on the media sector products. The results show that the business must employ another service channel (journalist).