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How To Leave Public Sector Queue System Without Being Noticed


The need to improve customer service public sector queue system time in a queue in a bank stems from the fact that a long queue and the slow response time of the system to customer requirements, ie a slow customer service, can reduce customer satisfaction and lead to a reduction in organization performance and reduced profitability. The reason is that customer service time is an important parameter of the quality of services provided by banking institutions. Quality can be the competitive edge of a bank, due to its huge importance to customer satisfaction and loyalty. The fourth chapter introduces the donotwait application. Which is ideal for the aforementioned use and in the fifth chapter a user study is carried out with the help of the statistical analysis through the ibm spas statistics. Program, the easy queue public guidance data of which were collected through primary survey questionnaires. The sixth and final chapter consists of annotation of the work. Additionally, suggestions for future additions or easy queue public guidance extensions of the application are made to further develop and optimize it. In the appendix of the paper is presented the survey questionnaire used for the study of users. Queues of queues we encounter daily in various activities of our everyday life.















Since queuing theory falls within the methods and decision-making techniques, this chapter will initially briefly refer to these methods. There are also some basic concepts as well as the purpose of queue theory models. Next, the components of the service systems and their specific features are presented. Finally, there is a reference to how to symbolize waiting queue models and to apply theory to the banking sector. Simulation: simulation is a model used primarily to train public sector queue software executives, as this model creates a possible scenario based on a real situation in which executives are called upon to explore alternative solutions.
















The key advantage of this model is that it can demonstrate the size of both successful and failed attempts to solve the problem, especially complex problems. Delphi technique: this technique follows the following steps: an identification of the problem, b provision of possible solutions via questionnaires, c elaboration of questionnaires and production of new questionnaires based on the answers given, d re-sending of the new questionnaires, e repeating the above procedure, until agreement is reached unanimity on the solution of the problem. In addition to the public sector queue software above models, there is also queue theory. This theory, as already mentioned, is used to solve waiting problems. These problems arise from the fact that current demand is far greater than the system s ability to serve.

The solution proposed by this model essentially compensates for the queue cost, which can be, for example, loss of customers, with the cost of eliminating the queue. Waiting queue theory is examined in detail below. Waiting queue theory appeared at the beginning of the twentieth century and was originally studied by danish mathematician anger kraut erlang. The study was conducted on problems encountered in telephony. However, wait queue theory has been studied more extensively, and naturally it has been widely applied to other disciplines.

It is part of the field of operational research and in particular in its stochastic part. Initially, it is advisable to refer to the concept of a service system. Serving system means a set of elements that interact with one another and constitute a whole for the purpose of generating results. In the service system, the client can be either a human being such as a man or not, such as a machine, work, etc. The customer is looking for or awaiting service. This service is performed by the server, which directly serves the customer in case it is not busy and immediately after the service the customer most of the time exits the system.




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