Advantages of queuing theory - Essay Example

Reneging happens when a prospective client decides to leave and forgo that service he is queuing for mostly because the queue is too long. In this calculation the main principle is that the costs of waiting in queues are normally inversely proportional to the timely cost of service. Queuing theories are clearly known to be simple as they normally require less data and it is known to produce results that are generic. This is the advantage of using queuing theory over the use of simulation as models of queuing theory.

The theory is widely used in service rendering sectors such health services area. Also in the same field of health care (Aaby et al. 575) describes the use of spreadsheets and spreadsheets software to implement the desired queuing network models of mass vaccination in the dispensing clinics. Another important example of software that forms part of such a system is found in an emergency department. (Broyles and Cochran, 615) say it is quite able to calculate the percentage number of patients who usually leave the emergency department without actually getting help.

This can be done by assessing the arrival rate, utilization, service rate as well as the capacity of the health care. It is out of this percentage that they can be able to actually determine the revenue that has been lost from the patients who left without being served. Disadvantages of queuing method Since the queuing theory models are mostly based on what is referred to as the exponential distribution, they work through applying these traits of exponential distribution. The main problem that comes with this is that in that this exponential distribution normally has a coefficient with a variation of one.

This fact has the effect of precluding the modelling of any other process that has a coefficient which is of variation significantly different from one. Therefore Because of the low likelihood that any of a random process will just be having a coefficient of variation that is just one, this queuing theory is considered to have the disadvantage of low applicability and practicality. While the number of assumptions for most of these applications of queueing models is normally few, they sometime tend to be quite irrational.

This is clear especially when human queues are involved. From the theory, it is understood that human behaviour is uniform and can be determined. This is quite untrue because human character and behaviour vary from one human being to another. Thus from these assumption some critics have argued that the queuing theory cannot apply where human being are involved in the queue. The assumptions are not normally correct as human behaviour is not actually determinable. Where as one person shall behave in a certain manner, another person might act the actual opposite of what the other person did.

For instance, one assumption can be that a person is likely not to enter a queue if he finds that there are too many people already ahead in the queue. In reality, this may not be true; otherwise, the situation would be that there would be no lines outside stores. Another point to discard the assumption there would no store opening on holidays for those maybe seeking to buy late gifts. The restrictive nature of the assumptions of the queuing theory is also another disadvantage that exposes the theory to criticism.

The nature of the production lines is quite complex and cannot be fully explained by the simple models that are provided for by the queuing theory. Therefore in order to cure this there are specialized tools which have been developed in order to simulate, visualize, analyze, and finally