Which of the following option can be an alternative strategy to increase the service capacity and manage the customer arrival time?

Why is there waiting in an infinite source queuing system?

Variability in arrival and service rates.

The goal of queuing analysis is to minimize:

The sum of customer waiting costs and capacity costs.

A basic difference between infinite source and finite source queuing models is:

Size and potential calling population.

A basic difference between infinite source and finite source queuing models is:

Size of potential calling population.

If a manager increases system utilization (assuming no change in the customer arrival rate) what happens to the customer waiting time?

It increases exponentially.

A single phase queuing system is one which has a single:

A single channel queuing system has an average service time of eight minutes and an average time between arrivals of 10 minutes. The arrival rate is:

In a _______ system, customers enter the waiting line, receive service and leave.

Which of the following is not generally considered as a measure of system performance in a queuing analysis?

Starts high, declines, then increases again.

Little's Law states that the number of people in a waiting line is the average customer arrival rate multiplied by the ________.

Average time in the system.

As the ratio of arrival rate to service rate is increased, which of the following is likely?

Customers move through the system more slowly because utilization is increased.

Which one of the following measures of system performance is a key measure with respect to customer satisfaction?

Average number of customers waiting in line.

A single channel queuing system has an average service time of 16 minutes per customer, which is exponentially distributed. The manager is thinking of converting to a system with a constant service time of 16 minutes. The arrival rate will remain the same. The effect will be to:

Decrease the average waiting time.

A ________ is one way of reducing perceived waiting time.

An alternative strategy to increase the capacity of a service system is:

Increasing the processing rate.

If a firm has reached the point at which further reducing waiting time is not economically feasible, reducing the ______ is sometimes attractive.

Offering an "early bird" special at a restaurant to reduce waiting times during peak hours is an example of ____________.

A restaurant that implements a limited menu and a "no substitutions" policy during peak dining hours is practicing _____________ with respect to waiting line management.

Which of the following would reduce perceived waiting times most dramatically in a doctor's office?

Having the patient fill out forms.

In a multi-channel system with multiple waiting lines, customers shifting among the waiting lines is an example of __________.

Which of the following measures of system performance is a key measure with respect to customer satisfaction?

Which one of the following measures of system performance is a key measure with respect to customer satisfaction? Average number of customers waiting in line.

What are waiting line strategies in service Marketing?

The waiting line or queue management is a critical part of service industry. It deals with issue of treatment of customers in sense reduce wait time and improvement of service. Queue management deals with cases where the customer arrival is random; therefore, service rendered to them is also random.

What are the different types of waiting line management?

There are two main types of waiting lines: finite, where new customers can only be added to the line once others move out of the line, and infinite, where new customers are not affected by the number of customers already in the system. Lines can also be set up so that there is one single or multiple lines of service.

Which of the following is not generally considered as a measure of performance in Queueing analysis?

However, the average service time is not considered to be a measure of performance in the queueing analysis as that depends on a lot of other factors and is outside the scope of the Queueing systems.