Queuing theory model review
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Can someone please provide some assistance with a question. Its for an MBA course titled Quantitative Analysis. It needs to be between 1500 and 2000 words. Please see the attached information for the question and how to better assist me. Thank you so much in advance for your help. I really appreciate it. I wish I could put more credits but unfortunately because I post so much each week I cannot afford more credits. Please sign out on it right away if you can help me so that I know I am receiving help. Thank You
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A review of queuing theory and models, examples, uses.
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Queuing
Queuing is the study of waiting lines. Using mathematical formulas, the length of the line and the time waiting can be analyzed or predicted. There are various uses for the queuing models because waiting lines are found everywhere. People wait in line at retail shops, on the phone, at the doctor's office. Understanding wait times can help manage costs and customer service satisfaction.
• Queuing uses
Queuing are waiting lines. People arrive at their destination, the cash register, call into speak to a representative, and find themselves in line. When people have to wait a long time they become irritated and find the experience unsatisfactory. Since people arrive at various times, it is difficult to schedule workers to fulfill the needs of customers. Additionally, it is important to keep costs low where possible.
Queuing theory uses probability methods to predict delays in waiting lines or networks. Waiting lines are human based production lines, where each object (the person) is in need of the resources or application of processes of an organization. For businesses, customer dissatisfaction is one outcome of wrongly scheduled personnel for serving customers. Another is paying individuals to help customers when there are no customers to serve. If the customers are happy, the costs are in lost business and if there are not customers to serve, the costs are related to labor and time.
• Queuing system
Queuing theory was created through an investigation of phone systems and the problems that were created when people had to wait. Queuing theory does not deal with optimization, but instead measures the expected waiting time of each customer and the percentage of time the facility is idle (Taha, 1981). Since the inception of study on queuing theory, the theory has expanded to include not just human factors, but also any ...
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