Demand for system services

In anticipation that customers called or individuals in cases as the tails of post offices and banks, or aircraft in where airport or data in a computer system, etc. Clients naturally do not like this waiting state. Or same situation but uncomfortable and system administrators like above, due to the fact that the wait in a queue increases queue system operating costs of the system. So reasonably clear question: “so why is waiting?” The answer is simple: there is a greater demand for services from the service can be offered by existing infrastructure. Many are reasons why this happens.


Customers waiting in queue

For example there may be a lack of on servers (units, computing resources or people who take customer service) to be economically unfeasible for a company to providing the level of service which is essential to avoid tail or even to have a spatial limit to the service size which may be offered. These restrictions can be eliminated by capital expenditure, and for us to know how many servers they must be available to be able to answer the two key questions:,) how much time waiting for a customer in the queue, and,) how many customers waiting in line. The queuing theory attempts to answer to these questions through a detailed queue software solution mathematical analysis. The queuing theory using a set of mathematical expressions can help solve problems and phenomena crowds coming from various fields of human,, activity such as production systems, communications etc. Using queuing theory can model in detail a queuing system with any features that maybe it has, and to study accurately or even to resolve all problems that hinder the proper queue system functioning of the system.

Apart from the proper implementation of a modeled system must queue queue system and be suitable for the case in which we wish to apply. This has a big impact on decisions made for features of this system is modeled. In with large capacity have large cost while in queue systems low capacity have increased queue, which by extension also creates an increase in cost. It makes sense that to seek an economic balance between cost and service cost which due to hold. In this work we will study various aspects of queuing theory standby, both theoretical and practical.

Central location of a queue system

Will be presented detail the problem of queues, codification and characteristics of the mathematical foundation of the theory tails and various examples based on real situations we can experience in our daily lives that can be they studied the use of mathematics. Finally, in the last part of the work presents a complex applying queuing theory modeled by means of queue software solution software spreadsheet microsoft excel and palisade simulation software risk.,,,. Description of the problem of the tail a queue system can be depicted as follows: customers arrive service and where it is not readily available wait this queue. Then after queuing they arrive at one or more service points after the service. Queuing is a process of moving customer from a central location to a specific place or service.

Waiting in lines is something everyone does every day. Lines are encountered everywhere like at the airport, checking into hotels and other place that provide service. Because of lack in customer service management, customer can be left confused as to what line to stand in, queue system what counter to go to when called and distracted by noisy and crowded environments.