In: Operations Management
At the start of football season, the ticket office gets very busy the day before the first game. Customers arrive at the rate of five every 15 minutes, and the average time to transact business is 2 minutes.
Answer:
Arrival Rate = 5 customer in 15 min => 20 customers in
60min
We'll go with M/M/1 model
Serving time= | 2.00 min | |||
Lamda, λ = arrival rate (poisson) = | 20.00 per hour | |||
μ = mean service rate (exponential) = 60/serving time | 30.00 per hour | |||
Serving time= 1/μ | 0.033 hours | |||
Utilization = ρ = λ /μ = | 0.6667 | |||
Answer a: | Average number of people waiting for tickets: | |||
Average no queue =Lq = (ρ)2 / (1-ρ) | ||||
Average no of customers waiting in line =Lq = | 1.3333 customers | |||
Answer e | Average time spent in queue: | |||
Wq = waiting time in the line for service = Lq / lambda = λ^2/μ(μ-λ) | 0.0667 hours | OR | 4.00 min | |
Answer b: | average time that a person will spend at the ticket office: | |||
W = average time in the system = 1/(μ-λ) | 0.1000 hours | OR | 6.00 min | |
Answer c: | The proportion of time server is busy = Arrival rate/service rate = λ /μ | 0.6667 | OR | 66.7% |
Answer d: | average number of people receiving and waiting to receive tickets | |||
L = no. of customers in the system = W *Lambda = W*λ | 2.00 customers | |||