M/m/1 queuing theory Help with homework

In summary, the probability of exactly 4 customers arriving in a given hour is 0.183, the average time per customer is 12 minutes, and the probability of the cashier being idle is 0.
  • #1
joscieja
1
0

Homework Statement


Single employee. Customers arrive at a rate of 4 pr hr. Customers are served at an average rate of 5 per hour. Assume that arrival are random and independent and services times are exponentially distributed

What is the prob that exact 4 people arrive during a given one hour period
what is the average time per customer?
What is the prob that the cashier is idle?


Homework Equations


m/m/1




The Attempt at a Solution


po (4) 0 e-4 =e-4=0.183
 
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  • #2
joscieja said:

Homework Statement


Single employee. Customers arrive at a rate of 4 pr hr. Customers are served at an average rate of 5 per hour. Assume that arrival are random and independent and services times are exponentially distributed

What is the prob that exact 4 people arrive during a given one hour period
what is the average time per customer?
What is the prob that the cashier is idle?


Homework Equations


m/m/1




The Attempt at a Solution


po (4) 0 e-4 =e-4=0.183
I can't tell what this is supposed to mean. For this problem, I'm assuming you need to use Poisson distributions for the customer arrivals and serving times. Since four customers arrive per hour, then a customer arrives every 15 minutes. Since the system can serve 5 per hour, it takes 12 minutes, on average, to serve a customer.
 

Related to M/m/1 queuing theory Help with homework

1. What is M/m/1 queuing theory?

M/m/1 queuing theory is a mathematical model used to study waiting times in a single-server queue. The "M" stands for Markovian, meaning that the arrival and service times are random and follow a Poisson distribution. The "m" represents a single server and the "1" indicates that there is only one queue.

2. How does M/m/1 queuing theory help with homework?

M/m/1 queuing theory can help with homework by providing a framework for solving problems related to waiting times in a single-server queue. It helps students understand the concepts of arrival and service rates, utilization, and queuing formulas.

3. What are the assumptions of M/m/1 queuing theory?

The assumptions of M/m/1 queuing theory include: a Poisson arrival process, exponential service times, a single server, and a First-Come-First-Served (FCFS) queue discipline. It also assumes that the system is in a steady-state and that the arrival rate is less than the service rate.

4. What are some real-life applications of M/m/1 queuing theory?

M/m/1 queuing theory has many practical applications, such as in transportation systems, call centers, and healthcare facilities. It can also be used to analyze waiting times in supermarket checkout lines, ATM queues, and traffic flows.

5. What are the limitations of M/m/1 queuing theory?

M/m/1 queuing theory has some limitations, such as assuming a steady-state and ignoring factors like customer impatience and multiple server queues. It also does not account for variations in arrival and service times, which may occur in real-life situations.

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