Question: Little's Law is a theorem that determines the average number of items in a stationary queuing system, based on the average waiting time of an

"Little's Law is a theorem that determines the average number of items in a stationary queuing system, based on the average waiting time of an item within a system and the average number of items arriving at the system per unit of time." Little's Law can be represented as:

Question 1 options:

Inventory = Flow Rate x Flow Time

Inventory = Flow Rate + Flow Time

Inventory = Flow Rate x Interarrival Time

Inventory = Interarrival Rate + Interarrival Time

2.

Consider a process that has 3 stations, ordered in sequence: 1, 2, and 3. At each station, two consecutive tasks are performed one after the other. The time (in seconds per unit) it takes for a single person to perform each task is given in the table below (e.g., task A2 takes 10 seconds per unit):

Station

# of Workers

Task A1

Task A2

Task B1

Task B2

Task C1

Task C2

1

1

20

10

-

-

-

-

2

2

-

-

40

40

-

-

3

1

-

-

-

-

1

The table also gives the number of workers at each station. What is the capacity of this process (in units per minute)? (Round the answer to 1 decimal place.)

Question 2 options:

3.0 units/minute

2.5 units/minute

2.0 units/minute

1.5 units/minute

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