1 / 5

Problem 1. M/M/1 Performance Evaluation

Problem 1. M/M/1 Performance Evaluation. Example: The arrival rate to a GAP store is 6 customers per hour and has Poisson distribution. The service time is 5 min per customer and has Exponential distribution. On average how many customers are in the waiting line.

bryant
Download Presentation

Problem 1. M/M/1 Performance Evaluation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Problem 1. M/M/1 Performance Evaluation Example: The arrival rate to a GAP store is 6 customers per hour and has Poisson distribution. The service time is 5 min per customer and has Exponential distribution. • On average how many customers are in the waiting line. • How long a customer stays in the line. • How long a customer stays in the processor (with the server)? • On average how many customers are with the server. • On average how many customers are in the system ? • On average how long a customer stay in the system ?

  2. Problem 2. M/M/1 Performance Evaluation • What if the arrival rate is 11 per hour?

  3. Problem 3: M/M/c A local GAP store on average has 10 customers per hour for the checkout line. The inter-arrival time follows the exponential distribution. The store has two cashiers. The service time for checkout follows a normal distribution with mean equal to 5 minutes and a standard deviation of 1 minute. • On average how many customers are in the waiting line. • How long a customer stays in the line. • How long a customer stays in the processors (with the servers)? • On average how many customers are with the servers. • On average how many customers are in the system ? • On average how long a customer stay in the system ?

  4. Problem 4 • A call center has 11 operators. The arrival rate of calls is 200 calls per hour. Each of the operators can serve 20 customers per hour. Assume interarrival time and processing time follow Poisson and Exponential, respectively. What is the average waiting time (time before a customer’s call is answered)?

  5. Problem 5. M/D/c Example • Suppose the service time is a constant • What is the answer of the previous question? • In this case • The average number of customers waiting in line is? • The average waiting time in line is?

More Related