Exam 19: Waiting Line Models

In a well designed waiting line system it is the variability in _____ and ______ patterns that causes waiting lines.

Consider a single-line, single-server waiting line system. Suppose that customers arrive according to a Poisson distribution at an average rate of 50 per hour, and the average (exponentially distributed) service time is 45 seconds per customer. What is the probability that  2 customers are in the system?

Waiting line models typically assume that service times are represented by what distribution?

Implementing process improvements or dedication of additional resources is one way to improve:

In waiting line terminology, what is another name for server?

For a single-server, single-line, single-phase waiting line system, where  represents the mean arrival rate of customers and  represents the mean service rate, what is the formula for the average number of customers waiting in line?

Waiting line models typically assume what distribution(s)?

If only two cars can physically fit between the ordering and pay window of a fast-food drive-through, the waiting line system has a ____ _____ waiting line.

Arriving customer population is considered to be ____________ if the number waiting in line does not significantly affect the rate at which the population generates new customers.

A customer population is called _______________ when the number of potential new customers is affected by the number of customers already in the system.

Which of the following waiting line systems best describes a men's clothing store, where one of the sales clerks first assists the customer in selecting the material and style and then one of the tailors measures the customer to ensure a custom-fitted suit?

Which of the following is not an assumption of the waiting line models presented in the textbook?

What are the five characteristics that define a service system?

The term _________ refers to the activity or a series of service required activities.

Waiting line models typically assume that customer arrival rates are represented by the Gaussian distribution.

Consider a single-line, single-server waiting line system. Suppose that customers arrive according to a Poisson distribution at an average rate of 60 per hour, and the average (exponentially distributed) service time is 45 seconds per customer. What is the average utilization of the system?

List some system changes one can make to try to improve waiting line performance.

Which of the following is least likely to be considered a finite customer population?

Customers in a grocery store would be considered a finite customer population.

Which of the following waiting line systems best describes a drive-through service at a fast-food restaurant, where the order is placed at the first service point, the order is paid for at the second service point, and the food is picked up at the third service point?