Final answer:
D. All of the above
A queuing model enables one to predict Arrival, Service, Waiting times.
Step-by-step explanation:
A queuing model enables one to predict Arrival, Service, Waiting times. The queuing model is used to study the behavior of systems where customers arrive, wait in line for service, and then leave.
It helps in predicting the average time between customer arrivals, the average time spent waiting in line, and the average time spent being served.
A queuing model enables one to predict D. All of the above: Arrival, Service, and Waiting times. This concept is essential in operations research and helps businesses manage customer flow effectively.
For instance, if we expect 30 customers per hour, we can infer that one customer arrives every two minutes, on average. Therefore, it will take approximately six minutes for three customers to arrive, and we can model the time between customer arrivals using an exponential distribution.
One of the applications of a queuing model is finding probabilities related to customer arrivals. For example:
The probability that it takes more than five minutes for the next customer to arrive after a previous arrival.
The probability that it takes less than one minute for the next customer to arrive.
What percentage of customers arrive within a certain time frame of the previous customer.
However, there are assumptions in the queuing model, such as single customer arrivals and consistent flow, which may not always hold true and should be considered when modeling real-world situations.