One way to succeed is to improve the service rate

Service rate the average number of articles served per time unit and per unit service L arrival rate the average number of arrivals per time unit The objects come from an infinite or very large crowd. We have the queueing system following parameters: The service rate follows an exponential distribution. The arrival rate of objects follows Poisson distribution Each item served by the first available unit service. There is only one service queue. The order of service is first-in, first-out FIFO. Data sec When for example in a given our application that time service will be an average queueing systems of minutes, the service rate is m, but m items hour because in a time served six items.

For our purpose, we directly types applicable to this model without proof. The proofs use induction, geometric lines, averaging calculation and other mathematical tools and They can be found in the literature of Queuing Theory. In the grocery store the previous example, because of the competition and customer dissatisfaction, the queueing system software owner wants to reduce the overall residence time in the fund, IE the waiting time in the queue and the time service. So it decided that the average residence time in the system is not should not exceed minutes. A. One way to succeed is to improve the service rate.

What should be this pace? B. The second way is the placement of an assistant to the cashier. THE owner believes that in this way the average service time may be reduced to minutes. Met in this way the target the maximum stay on average of five minutes in the fund? a We have seen that the average customers' residence time in the fund is queueing systems minutes, while the owner wants him to a maximum of minutes, IE hours. The arrival rate remains l customers hour. M The service rate is calculated as follows:In arguments standby systems can not have unlimited length tail.

For example in a call center as phone calls, which can wait in the queue, they are specific, namely those which are available standby lines. So if there are limited positions queue logic affecting factors such as time service, the number of items in the queue and queueing system software in general the results of model. Suppose that the maximum number of objects in the system is K and other conditions of the model remain the same as the base model. In previous models had only a service unit. Although These, in several applications, such as in a bank, and we still have a waiting queue, system objects served by more service units. For that reason We are looking at the M c model.

In this model, the following conditions apply: items min customers hour m service rate the average number of articles served per time unit We must add that the parameters a and m are rates and expressed in articles per unit of time, for example: L arrival rate the average number of arrivals per time unit The average service rate is greater than the average rate arrival. In the model M, always defined by two parameters: The service rate follows an exponential distribution. The rate of objects entering the following system Poisson distribution and objects from one or infinity very large crowd. Each item arrives in the queue waiting to be served Do not leave the queue The number of the model service is first-in, first-out FIFO. then, they present some of the most basic and most applied models of queuing systems in the literature theory of queues, with the help of mathematical expressions and examples They characterize them.

Why People Love to Hate Queue Management 

It is very interesting to note that this queue management phenomenon with its valences multiple and diverse influences the lives of people of all ages and sexes, of all walks of life, is eagerly sought and monitored by company management in its aims formative, educational, recreational but also political and material. The complex and dynamic social phenomenon, physical education and sport follow the same laws of progress, laws conditioned by the current stage of quantity and especially the objective quality of information and their management. Ignoring these two disciplines that are necessary for social progress, it means not to provide PHYSICAL EDUCATION AND SPORT the development at the necessary pace, comparable to the international level, to which our entire society tends. The information that has been used and is currently used in the whole social phenomenon of physical education and sport in all processes, activities and actions, with a few minor exceptions, are secondary information, harvested and processed on the basis of obsolete classical theoretical concepts at present in the established specialized literature in our country. In this secondary theoretical context, outlined in the previous lines, laws, instructions, organizational norms, plans, programs, training models, lessons and training, etc, are elaborated, which, more sophisticated, but totally broken by the reality they are addressing.

Attention, however COMPETITION to achieve online queue management system its mission and educational goals must be well organized and carefully attended by all stages required by the curriculum, namely conceptions, objectives, approaches, means, etc. These are information that is lacking in theory and practice, in sports games programs in schools as well as in physical education faculties. Another problem at the level of specialty faculties is the proliferation of certain methods of physical education which, together with certain theories, have become self disciplined disciplines with the obvious intention of being online queue management system at the center of these practical processes, sometimes with the intention to fill.

To whom are written statements such as Physical education a component of the field of research of Physical Education and Sports Theory, or Sport component of the research field of Physical Education and Sport Theory? Our opinion is that the psychometric acts, the psycho motor activities, within the social phenomenon Physical Education and Sport have a profound practical character and with these specific valences must be fully at the center of the theoretical preoccupations of those interested in influencing them. If at present in the specialized theories are presented and analyzed as the last components of the structures of the sporting branches, the technical elements and procedures, the much obsolete concept, the application of the black box following the evaluation of a sports customer queue management system branch as a Hierarchy SYSTEM, made it possible and allowed to establish a new level underlying them, respectively the elements of the action.

These elements of the actions are customer queue management system currently considered the smallest parts of the sporting industries forming their new information field. The paper presents a possible algorithm necessary for the objectification of information within the social phenomenon of physical education and sport, whose operations are constituted by the axioms of its modeling. The model in systemic (cybernetic) thinking is an objective reproduction or a transformation into values with objective existence of information and for social phenomenon physical education and sport. Both reproduction determination, and those of transformation into objective values must be understood as axiomatic scientific obligations, so that the physical phenomenon of physical education and sport can state and define its SCIENCE STAY of the processes, activities and motor actions that are based MAN AND PHYSICAL EXERCISE in social interest.