Queuing Theory : Queuing Systems

Overbooking is a highly controversial issue that has been on the agenda for many years. It is not only a business topic but also an ethical matter. Overbooking can be examined through many ethical theories.

This research is trying to answer the question of how to reduce overcrowding in emergency rooms? Would people would want to access published wait times provided on the internet, and would this guide a patient make decisions on where they receive their care. The hypothesis being one, crowding maybe reduced with having upfront information, and therefore also provide increased patient satisfaction due to waiting less. Patients would have more choices available to them such as

3. How does demand variability impact capacity issues at LAA? What can the company do to control variability in demand?

I have been given the responsibility of improving the efficiency and reducing cycle time in the Spartan Billing Department. I have noticed that there is an increase of queues building up in this department making it less effective. The best way to simulate ways to improve the Spartan Billing Department would be by using Arena. I will be able to replicate different changes in the current billing process determining which procedure will be the most effective. It will be imperative that the department is as efficient as possible because of the increased demand.

Hence, the bottleneck is due to high variability in order arrival rate and order processing time. Hence, we need to analyse the quarterly utilization level.

Let’s say there is a line of customers during the lunch rush at your average fast food restaurant. The line is taking extraordinarily long because there is only one person running the register and one person

The concept of the learning curve is a powerful tool and is applicable to all learning processes. In this simulation I became the manager and ran the Pizza store hoping to produce a better process for the amount of time a customer waits for their order. The goal of my job was to apply the learning curve concepts to test the alternative against the current process of the Pizza store. I will explain and provide information on the processes that I chose to implement, the outcome of each process, and the overall success of my performance.

We considered different staffing plans and ran Queuing Macro for average wait time. We considered adding servers and keeping one queue, and other scenarios with dedicated Fast Track Servers. We ran Queuing Macro under five different staffing scenarios: (Please note that we have dedicated Fast track servers in Scenarios 4 and 5)

The goal of this project is to use queueing principles to understand complex biological systems, especially those that involve proteolytic pathways. The proposed work will combine experimental and theoretical techniques to develop and apply queueing theory to synthetic oscillatory, translational, and toxin-antitoxin (TA) systems in the model organism E. coli (initial experiments will utilize the background NB00142-43 lacking genomic araC and lacI for studies involving the oscillator, and the background DH5alphaZ158 otherwise). In this section, we describe the proposed work for each of the specific research objectives (Section 6.1), specific outreach objectives (Section 6.2), and the significance of each objective

The author referred to First come/first served as “’queuing,’ allocates a limited resource based on the order in which people request it.” (Velasquez, 2005, Pg. 11) On the same page, he explained this approach as best used to sell movie and concert tickets by concert and cinemas organizers. Business who carry a limited number of supplies, need to establish expectations in order to move their supplies quickly; hence, creating scarcity, once they are out of stock. Customers are prone to act swiftly when a sense of urgency is created, basically, increasing supply on demand. Apparently, first come/first served can satisfy impartiality if confounding factors, such as, “conflicting obligations or the claimant’s ability to travel to the location

3.   The travel time is 1 hour.  While this is considered part of the service time it actually means that the customer will be waiting during the first hour of the service time.  Thus, travel time must be added to the time spent in line as predicted model in order to determine the total customer waiting time.

d. Small grocery store: usually a single-channel, singleserver system. Arrivals Waiting line customers buying food items customers with carts or baskets of groceries who arrive first at the cash register; sometimes not FIFO; grocer may care for regular customers first or give priority to person making a small, quick, purchase ringing up sale on cash register, collecting money, and bagging groceries

Telecom offers three classes of service or queues for their One Office network, to deliver different service levels regarding latency, delay, packet loss, jitter and bandwidth depending on the application. The three classes are :

Queuing theory or queues is the mathematical study of waiting lines. The queue lengths and waiting time can be predicted when a model is constructed in queuing theory. There are three of characteristics of queuing theory which are firstly isthe arrival or inputs to the system such as the population of size, behaviour and pattern or statistical distribution, the second of the characteristics is queue discipline, or the waiting line itself include whether it is limited or unlimited in length and others and lastly, the service facility which include its design and the statistical distribution of service times.

In this essay, two companies will be identified and described on how they utilize a queuing system. Only two of the four most basic waiting line structures will be discussed: single-server and multiple-server waiting lines. Since waiting is an integral part of many service related operations, it is an important area of analysis. Each queue system has its advantages and disadvantages, but with no doubt each company’s goal is to cut down on the waiting time and that customer returns. In particular, we examine their implementation of both processes and try to find solutions to improve the waiting line process.