M7- queue length
Arizona State University - W. P. Carey School of Business
Module 7: Business Process Management (BPM)
Business Process Management (BPM): Queue Length (Module 7)
Key Concepts
The Queue Length formula relies on two main effects:
Utilization Effect
Variability Effect
Variables and Definitions
u = Ri / Rp
Ri: Arrival Rate
Rp: Processing Rate
Rp = c / Tp
c: Number of servers
Tp: Average processing time
Coefficient of Variation (Ci/Cp):
A measure of variability, defined as the ratio of standard deviation to the mean:
Ci: Coefficient of Variation for interarrival times.
Cp: Coefficient of Variation for processing times.
Queue Length Example
Example with One Security Check Person
Scenario: 10 passengers, 1 security check person (c = 1)
Interarrival Times: 10, 2, 10, 1, 10, 3, 7, 2, 9
Sample Standard Deviation: 3.937
Mean Interarrival Time (Ti): 54/9 = 6 seconds
Arrival Rate (Ri): 1/6 passengers per second
Processing Times: 7, 1, 7, 2, 8, 7, 4, 8, 1, 5
Sample Standard Deviation: 2.828
Mean Processing Time (Tp): 50/10 = 5 seconds
Processing Rate (Rp): 1/5 = 0.2 passengers per second
Calculating Queue Length
Calculations:
Coefficient of Variation (Ci): Std. Dev. / Mean = 3.937 / 6 = 0.656
Coefficient of Variation (Cp): Std. Dev. / Mean = 2.828 / 5 = 0.566
Utilization (u): Ri / Rp = (1/6) / (1/5) = 0.833
Average Number of Passengers Waiting (Ii):
Formula: ( Ii = \frac{u^2(c + 1)}{1 - u} \left( C_i^2 + C_p^2 \right) )
Result: ( Ii = 0.833^2(2) \cdot 0.375 = 1.559 \text{ passengers waiting in line} )
Queue Length Example (With Added Server)
Scenario with Two Security Check Persons
Scenario: 10 passengers, 2 security check persons (c = 2)
Interarrival Times: 10, 2, 10, 1, 10, 3, 7, 2, 9
Sample Standard Deviation: 3.937
Average Interarrival Time (Ti): 6 seconds
Arrival Rate (Ri): 1/6 passengers per second
Processing Times: 7, 1, 7, 2, 8, 7, 4, 8, 1, 5
Sample Standard Deviation: 2.828
Average Processing Time (Tp): 5 seconds
Processing Rate (Rp): 2/5 = 0.40 passengers per second
Calculating Queue Length for Two Servers
Calculations:
Coefficient of Variation (Ci): Std. Dev. / Mean = 3.937 / 6 = 0.656
Coefficient of Variation (Cp): Std. Dev. / Mean = 2.828 / 5 = 0.566
Utilization (u): Ri / Rp = (1/6) / 0.40 = 0.417
Average Number of Passengers Waiting (Ii):
Formula: ( Ii = \frac{u^2(c + 1)}{1 - u} \left( C_i^2 + C_p^2 \right) )
Result: ( Ii = 0.417^2(3) \cdot 0.375 = 0.075 \text{ passengers waiting in line} )
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