Exam 13: Capacity Planning and Queuing Models

Which of the following is not true of pseudo-random numbers?

Capacity planning decisions deal implicitly with decisions on the cost of making consumers wait and the extent to which these costs can be borne.

Capacity usually is measured in terms of outputs (e.g., guest nights) rather than inputs (e.g., number of hotel rooms) in service firms.

The A/B/C notation classifies queuing systems on the basis of ________.

Queuing models can help explain all of the following, except ________.

In the long run, if service capacity is inadequate for the arrival rate, which one of the following will likely occur?

In the A/B/C analytical queuing model classification, M is used to denote ________.

For the system to operate satisfactorily over the long run, ________.

The average time a customer should expect to wait can be calculated using just the mean arrival rate and the mean service rate.

Which of the following does not need to be analyzed for capacity requirements when setting up a "Cookies and Ice Cream" shop?

The graph depicting the economic trade-off in capacity planning has cost on the x-axis and the capacity to serve on the y-axis.

The ________ queuing model is often used in situations when little or no waiting occurs.

A queuing system is described by all of the following, except ________.

Pseudo-random numbers do not permit an exact replication of experimental conditions.

Pooling of servers results in reduced waiting time because ________.

Which of the following is not part of the queuing system features?

Pooling of services is an approach toward achieving economies of scale in services through better utilization of services.

Which of the following is not a criterion for capacity planning?

A system is said to be in statistical equilibrium when the number in queue assumes a distribution that is independent of the starting condition.

A Poisson process describing the distribution of departures from a busy server with an average rate of 15 per hour is equivalent to the negative exponential distribution of service times with a mean of 5 minutes.